Tootfinder

Levels of Autonomy for AI Agents
K. J. Kevin Feng, David W. McDonald, Amy X. Zhang
https://arxiv.org/abs/2506.12469 https://arxiv.org…

Levels of Autonomy for AI Agents
Autonomy is a double-edged sword for AI agents, simultaneously unlocking transformative possibilities and serious risks. How can agent developers calibrate the appropriate levels of autonomy at which their agents should operate? We argue that an agent's level of autonomy can be treated as a deliberate design decision, separate from its capability and operational environment. In this work, we define five levels of escalating agent autonomy, characterized by the roles a user can take when interac…

Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Hong Huang, Dongkuan Xu, Hao Zhang, Peng Gao
https://arxiv.org/abs/2506.14180

Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Egocentric pose estimation is a fundamental capability for multi-robot collaborative perception in connected autonomy, such as connected autonomous vehicles. During multi-robot operations, a robot needs to know the relative pose between itself and its teammates with respect to its own coordinates. However, different robots usually observe completely different views that contains similar objects, which leads to wrong pose estimation. In addition, it is unrealistic to allow robots to share their …

Autonomy for Older Adult-Agent Interaction
Jiaxin An
https://arxiv.org/abs/2507.12767 https://arxiv.org/pdf/2507.12767

Autonomy for Older Adult-Agent Interaction
As the global population ages, artificial intelligence (AI)-powered agents have emerged as potential tools to support older adults' caregiving. Prior research has explored agent autonomy by identifying key interaction stages in task processes and defining the agent's role at each stage. However, ensuring that agents align with older adults' autonomy preferences remains a critical challenge. Drawing on interdisciplinary conceptualizations of autonomy, this paper examines four key dimensions of a…

Allen: Rethinking MAS Design through Step-Level Policy Autonomy
Qiangong Zhou, Zhiting Wang, Mingyou Yao, Zongyang Liu
https://arxiv.org/abs/2508.11294 https://

Allen: Rethinking MAS Design through Step-Level Policy Autonomy
We introduce a new Multi-Agent System (MAS) - Allen, designed to address two core challenges in current MAS design: (1) improve system's policy autonomy, empowering agents to dynamically adapt their behavioral strategies, and (2) achieving the trade-off between collaborative efficiency, task supervision, and human oversight in complex network topologies. Our core insight is to redefine the basic execution unit in the MAS, allowing agents to autonomously form different patterns by combining th…

Kamizdat – Access Frame: Autonomy
#byncnd

NemeSys: An Online Underwater Explorer with Goal-Driven Adaptive Autonomy
Adnan Abdullah, Alankrit Gupta, Vaishnav Ramesh, Shivali Patel, Md Jahidul Islam
https://arxiv.org/abs/2507.11889

NemeSys: An Online Underwater Explorer with Goal-Driven Adaptive Autonomy
Adaptive mission control and dynamic parameter reconfiguration are essential for autonomous underwater vehicles (AUVs) operating in GPS-denied, communication-limited marine environments. However, most current AUV platforms execute static, pre-programmed missions or rely on tethered connections and high-latency acoustic channels for mid-mission updates, significantly limiting their adaptability and responsiveness. In this paper, we introduce NemeSys, a novel AUV system designed to support real-t…

Tao-Technology for Teen Mobile Use: Harmonizing Adaptation, Autonomy, and Reflection
Pengyu Zhu, Janghee Cho
https://arxiv.org/abs/2507.12204 https://

Tao-Technology for Teen Mobile Use: Harmonizing Adaptation, Autonomy, and Reflection
Adolescents' mobile technology use is often regulated through rigid control mechanisms that fail to account for their autonomy and natural usage patterns. Drawing on Taoist philosophy, particularly Wu Wei, Yin-Yang, and Zi Ran, this position paper proposes Tao-Technology, a self-organizing, adaptive regulatory framework. Integrating insights from Reflective Informatics and Information Ecologies, we explore how mobile technology can dynamically adjust to context while fostering self-reflection a…

Urteil: Autonomy-Betrug an HP war viel kleiner
Hewlett-Packard hat 2012 Autonomy übernommen und dann massiv geschönte Zahlen entdeckt. Doch der Schaden ist gar nicht SO groß.
https://www.heise.de…

Ukrainian startup says its drones could work on their own by year’s end, thanks to AI: https://benborges.xyz/2025/07/15/ukrainian-startup-says-its-drones.html

From Micro to Macro Flow Modeling: Characterizing Heterogeneity of Mixed-Autonomy Traffic
Chenguang Zhao, Huan Yu
https://arxiv.org/abs/2508.09432 https://…

From Micro to Macro Flow Modeling: Characterizing Heterogeneity of Mixed-Autonomy Traffic
Most autonomous-vehicles (AVs) driving strategies are designed and analyzed at the vehicle level, yet their aggregate impact on macroscopic traffic flow is still not understood, particularly the flow heterogeneity that emerges when AVs interact with human-driven vehicles (HVs). Existing validation techniques for macroscopic flow models rely on high-resolution spatiotemporal data spanning entire road segments which are rarely available for mixed-autonomy traffic. AVs record detailed Lagrangian t…

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
Quanyan Zhu
https://arxiv.org/abs/2507.10621 https://

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
Protecting cyberspace requires not only advanced tools but also a shift in how we reason about threats, trust, and autonomy. Traditional cybersecurity methods rely on manual responses and brittle heuristics. To build proactive and intelligent defense systems, we need integrated theoretical frameworks and software tools. Game theory provides a rigorous foundation for modeling adversarial behavior, designing strategic defenses, and enabling trust in autonomous systems. Meanwhile, software tools p…

A retrospective on DISPEED -- Leveraging heterogeneity in a drone swarm for IDS execution
Vincent Lannurien, Cam\'elia Slimani, Louis Morge-Rollet, Laurent Lemarchand, David Espes, Fr\'ed\'eric Le Roy, Jalil Boukhobza
https://arxiv.org/abs/2506.11800

A retrospective on DISPEED -- Leveraging heterogeneity in a drone swarm for IDS execution
Swarms of drones are gaining more and more autonomy and efficiency during their missions. However, security threats can disrupt their missions' progression. To overcome this problem, Network Intrusion Detection Systems ((N)IDS) are promising solutions to detect malicious behavior on network traffic. However, modern NIDS rely on resource-hungry machine learning techniques, that can be difficult to deploy on a swarm of drones. The goal of the DISPEED project is to leverage the heterogeneity (exec…

Trump’s intervention has been widely condemned as an authoritarian power grab
that undermines the autonomy of Washington’s DC local government
and seeks to distract attention from political problems such as the Jeffrey Epstein files.
Propaganda Minister Karoline Leavitt told reporters,
“this is only the beginning.
Over the course of the next month,
the Trump administration will relentlessly pursue and arrest
every violent criminal in the district&quo…

Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
Hana Derouiche, Zaki Brahmi, Haithem Mazeni
https://arxiv.org/abs/2508.10146 https://

Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
The emergence of Large Language Models (LLMs) has ushered in a transformative paradigm in artificial intelligence, Agentic AI, where intelligent agents exhibit goal-directed autonomy, contextual reasoning, and dynamic multi-agent coordination. This paper provides a systematic review and comparative analysis of leading Agentic AI frameworks, including CrewAI, LangGraph, AutoGen, Semantic Kernel, Agno, Google ADK, and MetaGPT, evaluating their architectural principles, communication mechanisms, m…

Refining Motion for Peak Performance: Identifying Optimal Gait Parameters for Energy-Efficient Quadrupedal Bounding
Yasser G. Alqaham, Jing Cheng, Zhenyu Gan
https://arxiv.org/abs/2507.12751

Refining Motion for Peak Performance: Identifying Optimal Gait Parameters for Energy-Efficient Quadrupedal Bounding
Energy efficiency is a critical factor in the performance and autonomy of quadrupedal robots. While previous research has focused on mechanical design and actuation improvements, the impact of gait parameters on energetics has been less explored. In this paper, we hypothesize that gait parameters, specifically duty factor, phase shift, and stride duration, are key determinants of energy consumption in quadrupedal locomotion. To test this hypothesis, we modeled the Unitree A1 quadrupedal robot a…

Why Bill Cowher believes Steelers should give Aaron Rodgers full autonomy on offense

https://www.cbssports.com/nfl/news/why-bill-cowhe…

From Autonomy to Agency: Agentic Vehicles for Human-Centered Mobility Systems
Jiangbo Yu
https://arxiv.org/abs/2507.04996 https://arx…

From Autonomy to Agency: Agentic Vehicles for Human-Centered Mobility Systems
Autonomy, from the Greek autos (self) and nomos (law), refers to the capacity to operate according to internal rules without external control. Accordingly, autonomous vehicles (AuVs) are defined as systems capable of perceiving their environment and executing preprogrammed tasks independently of external input. However, both research and real-world deployments increasingly showcase vehicles that demonstrate behaviors beyond this definition (including the SAE levels 1 to 6), such as interaction …

This https://arxiv.org/abs/2307.08739 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Key Issues Review: Useful autonomous quantum machines
Controlled quantum machines have matured significantly. A natural next step is to increasingly grant them autonomy, freeing them from time-dependent external control. For example, autonomy could pare down the classical control wires that heat and decohere quantum circuits; and an autonomous quantum refrigerator recently reset a superconducting qubit to near its ground state, as is necessary before a computation. Which fundamental conditions are necessary for realizing useful autonomous quantum …

Destroying bodily autonomy is a critical piece of the white Christian nationalist playbook - LGBTQ Nation
https://www.lgbtqnation.com/2025/06/destroying-bodily-autonomy-is-a-critical-piece-of-the-white-christian-nationalist-playbook/

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/1]:
Design and Evaluation of an Uncertainty-Aware Shared-Autonomy System with Hierarchical Conservati...

Mittwoch: Autonomy-Schadenersatz für HP, Sharepoint-Angriffe aus China
Übernahmeschäden geringer als beklagt Microsoft nennt Sharepoint-Angreifer Sportmodell von Opels E-SUV IT-Fachkräfte für EU Apple gegen Spyware im Iran

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
Gaze-informed Signatures of Trust and Collaboration in Human-Autonomy Teams

A London judge rules that HPE lost ~£730M after acquiring Mike Lynch's Autonomy, after a 2022 fraud finding against Lynch, who died in 2024; HPE was seeking $4B (Jonathan Browning/Bloomberg)
https://www.bloomberg.com/news/articles/20

The Zapatistas are best described as semi-anarchist or libertarian socialist, they blend indigenous, Marxist, and anarchist traditions.
What I admire most is how they reject vanguardism and state power, building horizontal, participatory structures rooted in real community autonomy.
- https://enlacezapatista.ezln.org.mx/…

WatchWitch: Interoperability, Privacy, and Autonomy for the Apple Watch
Nils Rollshausen, Alexander Heinrich, Matthias Hollick, Jiska Classen
https://arxiv.org/abs/2507.07210

WatchWitch: Interoperability, Privacy, and Autonomy for the Apple Watch
Smartwatches such as the Apple Watch collect vast amounts of intimate health and fitness data as we wear them. Users have little choice regarding how this data is processed: The Apple Watch can only be used with Apple's iPhones, using their software and their cloud services. We are the first to publicly reverse-engineer the watch's wireless protocols, which led to discovering multiple security issues in Apple's proprietary implementation. With WatchWitch, our custom Android reimplementation, we…

This https://arxiv.org/abs/2505.23397 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
This article presents a structured framework for Human-AI collaboration in Security Operations Centers (SOCs), integrating AI autonomy, trust calibration, and Human-in-the-loop decision making. Existing frameworks in SOCs often focus narrowly on automation, lacking systematic structures to manage human oversight, trust calibration, and scalable autonomy with AI. Many assume static or binary autonomy settings, failing to account for the varied complexity, criticality, and risk across SOC tasks c…

A Concept for Autonomous Problem-Solving in Intralogistics Scenarios
Johannes Sigel, Daniel Dittler, Nasser Jazdi, Michael Weyrich
https://arxiv.org/abs/2507.03534

A Concept for Autonomous Problem-Solving in Intralogistics Scenarios
Achieving greater autonomy in automation systems is crucial for handling unforeseen situations effectively. However, this remains challenging due to technological limitations and the complexity of real-world environments. This paper examines the need for increased autonomy, defines the problem, and outlines key enabling technologies. A structured concept is proposed, consisting of three main steps: context enrichment, situation analysis, and generation of solution strategies. By following this …

Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence
Eduardo Baena, Paolo Testolina, Michele Polese, Sergi Aliaga, Andrew Benincasa, Dimitrios Koutsonikolas, Josep Jornet, Tommaso Melodia
https://arxiv.org/abs/2506.10925

Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence
Lunar surface operations impose stringent requirements on wireless communication systems, including autonomy, robustness to disruption, and the ability to adapt to environmental and mission-driven context. While Space-O-RAN provides a distributed orchestration model aligned with 3GPP standards, its decision logic is limited to static policies and lacks semantic integration. We propose a novel extension incorporating a semantic agentic layer enabled by the Model Context Protocol (MCP) and Agent-…

Beyond Compliance: A User-Autonomy Framework for Inclusive and Customizable Web Accessibility
Lalitha A R
https://arxiv.org/abs/2506.10324 https://

Beyond Compliance: A User-Autonomy Framework for Inclusive and Customizable Web Accessibility
This paper proposes a shift from compliance-centered web accessibility to a care-driven model that prioritizes user autonomy, using neurodivergent users as a catalyst case for broader personalization needs. While accessibility standards offer a flexible framework, they are often interpreted and implemented as static compliance checklists, our approach reframes it as a flexible, user-centered process. We introduce a customizable Comfort Mode framework that allows users to adapt interface setting…

Oh, come on...
Can we please not make our cyclist-ridden country full of strange and untypical streets the testing ground for a manchild's misguided attempts at creating a technology he doesn't understand with a vast societal risk he doesn't respect.

How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
Zhenjiang Mao, Mrinall Eashaan Umasudhan, Ivan Ruchkin
https://arxiv.org/abs/2508.09346

How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
Autonomous robots that rely on deep neural network controllers pose critical challenges for safety prediction, especially under partial observability and distribution shift. Traditional model-based verification techniques are limited in scalability and require access to low-dimensional state models, while model-free methods often lack reliability guarantees. This paper addresses these limitations by introducing a framework for calibrated safety prediction in end-to-end vision-controlled systems…

⭐️Trump, Bashed the Federalist Society
(Not Corrupt Enough),
Asserts Autonomy on Judge Picks
⭐️Felon growns increasingly angry at court rulings blocking parts of his agenda,
including by judges he appointed
https://www.

Trump, Bashing the Federalist Society, Asserts Autonomy on Judge Picks
The president has grown increasingly angry at court rulings blocking parts of his agenda, including by judges he appointed.

Trump, Bashing the Federalist Society, Asserts Autonomy on Judge Picks (Charlie Savage/New York Times)
https://www.nytimes.com/2025/05/30/us/politics/trump-judges-nominations.html?unlocked_article_code=1.LU8.67al.TV7M3LuXBybz&smid=url-share
http://www.memeorandum.com/250531/p11#a250531p11

What is the biggest threat to companies regarding remote work?
I think it really comes down to remote employees have more autonomy over their life, and so aren't forced to cower to the company. Remote work removes the hassle of having upend ones life when changing companies by moving country etc.

Verti-Arena: A Controllable and Standardized Indoor Testbed for Multi-Terrain Off-Road Autonomy
Haiyue Chen, Aniket Datar, Tong Xu, Francesco Cancelliere, Harsh Rangwala, Madhan Balaji Rao, Daeun Song, David Eichinger, Xuesu Xiao
https://arxiv.org/abs/2508.08226

Verti-Arena: A Controllable and Standardized Indoor Testbed for Multi-Terrain Off-Road Autonomy
Off-road navigation is an important capability for mobile robots deployed in environments that are inaccessible or dangerous to humans, such as disaster response or planetary exploration. Progress is limited due to the lack of a controllable and standardized real-world testbed for systematic data collection and validation. To fill this gap, we introduce Verti-Arena, a reconfigurable indoor facility designed specifically for off-road autonomy. By providing a repeatable benchmark environment, Ver…

Agentic AI in 6G Software Businesses: A Layered Maturity Model
Muhammad Zohaib, Muhammad Azeem Akbar, Sami Hyrynsalmi, Arif Ali Khan
https://arxiv.org/abs/2508.03393 https://

Agentic AI in 6G Software Businesses: A Layered Maturity Model
The emergence of agentic AI systems in 6G software businesses presents both strategic opportunities and significant challenges. While such systems promise increased autonomy, scalability, and intelligent decision-making across distributed environments, their adoption raises concerns regarding technical immaturity, integration complexity, organizational readiness, and performance-cost trade-offs. In this study, we conducted a preliminary thematic mapping to identify factors influencing the adopt…

Self : Merging Human and AI for Co-Determined XR Living in the Metaverse
Thammathip Piumsomboon
https://arxiv.org/abs/2507.10967 https://

Self++: Merging Human and AI for Co-Determined XR Living in the Metaverse
This position paper introduces Self++, a novel nine-level framework for co-determined living in the Metaverse, grounded in Self-Determination Theory. Self++ prioritises human flourishing by progressively cultivating competence, autonomy, and relatedness through dynamic human-AI collaboration in extended reality (XR). Unlike technologically deterministic approaches, Self++ emphasises user empowerment by enhancing competency, mitigating cognitive biases and leveraging XR's immersive capabilities.…

Enhancing Systematic Interoperability: Convergences and Mismatches between Web 3.0 and the EU Data Act
Linyi Xu, Zihao Li
https://arxiv.org/abs/2508.07356 https://

Enhancing Systematic Interoperability: Convergences and Mismatches between Web 3.0 and the EU Data Act
Interoperability is increasingly recognised as a foundational principle for fostering innovation, competition, and user autonomy in the evolving digital ecosystem. Existing research on interoperability predominantly focuses either on technological interoperability itself or on the legal regulations concerning interoperability, with insufficient exploration of their interdisciplinary intersection. This paper compares the technological interoperability in Web 3.0 with the theoretical framework of…

Rational Superautotrophic Diplomacy (SupraAD); A Conceptual Framework for Alignment Based on Interdisciplinary Findings on the Fundamentals of Cognition
Andrea Morris
https://arxiv.org/abs/2506.05389

Rational Superautotrophic Diplomacy (SupraAD); A Conceptual Framework for Alignment Based on Interdisciplinary Findings on the Fundamentals of Cognition
Populating our world with hyperintelligent machines obliges us to examine cognitive behaviors observed across domains that suggest autonomy may be a fundamental property of cognitive systems, and while not inherently adversarial, it inherently resists containment and control. If this principle holds, AI safety and alignment efforts must transition to mutualistic negotiation and reciprocal incentive structures, abandoning methods that assume we can contain and control an advanced artificial gene…

Your Ride, Your Rules: Psychology and Cognition Enabled Automated Driving Systems
Zhipeng Bao, Qianwen Li
https://arxiv.org/abs/2506.11842 https://

Your Ride, Your Rules: Psychology and Cognition Enabled Automated Driving Systems
Despite rapid advances in autonomous driving, current autonomous vehicles (AVs) lack effective bidirectional communication with occupants, limiting personalization and recovery from immobilization. This reduces comfort and trust, potentially slowing broader AV adoption. We propose PACE-ADS (Psychology and Cognition Enabled Automated Driving Systems), a human-centered autonomy framework that enables AVs to sense, interpret, and respond to both external traffic and internal occupant states. PACE-…

Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias
Rushia Harada, Yuken Kimura, Keito Inoshita
https://arxiv.org/abs/2507.11210

Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias
Well-being in family settings involves subtle psychological dynamics that conventional metrics often overlook. In particular, unconscious parental expectations, termed ideal parent bias, can suppress children's emotional expression and autonomy. This suppression, referred to as suppressed emotion, often stems from well-meaning but value-driven communication, which is difficult to detect or address from outside the family. Focusing on these latent dynamics, this study explores Large Language Mod…

Cybersecurity AI: The Dangerous Gap Between Automation and Autonomy
V\'ictor Mayoral-Vilches
https://arxiv.org/abs/2506.23592 https://

Cybersecurity AI: The Dangerous Gap Between Automation and Autonomy
The cybersecurity industry combines "automated" and "autonomous" AI, creating dangerous misconceptions about system capabilities. Recent milestones like XBOW topping HackerOne's leaderboard showcase impressive progress, yet these systems remain fundamentally semi-autonomous--requiring human oversight. Drawing from robotics principles, where the distinction between automation and autonomy is well-established, I take inspiration from prior work and establish a 6-level taxonomy (Level 0-5) disting…

#wordweavers 26. If you were starting an anthology of short stories, what theme would be easiest for you?
Loss.
Loss of freedom. Loss of autonomy. Loss of agency. Loss of control. Loss of self-confidence. Loss of independence. Loss of dignity.
How much can you loose without actually losing yourself?

Vision Language Action Models in Robotic Manipulation: A Systematic Review
Muhayy Ud Din, Waseem Akram, Lyes Saad Saoud, Jan Rosell, Irfan Hussain
https://arxiv.org/abs/2507.10672

Vision Language Action Models in Robotic Manipulation: A Systematic Review
Vision Language Action (VLA) models represent a transformative shift in robotics, with the aim of unifying visual perception, natural language understanding, and embodied control within a single learning framework. This review presents a comprehensive and forward-looking synthesis of the VLA paradigm, with a particular emphasis on robotic manipulation and instruction-driven autonomy. We comprehensively analyze 102 VLA models, 26 foundational datasets, and 12 simulation platforms that collective…

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
Stefan Buijsman, Sarah Carter, Juan Pablo Berm\'udez
https://arxiv.org/abs/2506.23952

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
AI systems increasingly support human decision-making across domains of professional, skill-based, and personal activity. While previous work has examined how AI might affect human autonomy globally, the effects of AI on domain-specific autonomy -- the capacity for self-governed action within defined realms of skill or expertise -- remain understudied. We analyze how AI decision-support systems affect two key components of domain-specific autonomy: skilled competence (the ability to make inform…

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents
Hang Su, Jun Luo, Chang Liu, Xiao Yang, Yichi Zhang, Yinpeng Dong, Jun Zhu
https://arxiv.org/abs/2506.23844

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents
Recent advances in large language models (LLMs) have catalyzed the rise of autonomous AI agents capable of perceiving, reasoning, and acting in dynamic, open-ended environments. These large-model agents mark a paradigm shift from static inference systems to interactive, memory-augmented entities. While these capabilities significantly expand the functional scope of AI, they also introduce qualitatively novel security risks - such as memory poisoning, tool misuse, reward hacking, and emergent mi…

Followstopper Revisited: Phase-space Lagrangian Controller for Traffic Decongestion
Rahul Bhadani
https://arxiv.org/abs/2506.08036 https://

Followstopper Revisited: Phase-space Lagrangian Controller for Traffic Decongestion
This paper revisits Followerstopper, a phase-space-based control system that had demonstrated its ability to mitigate emergent traffic jams due to stop-and-go traffic during rush hour in the mixed-autonomy setting. Followerstopper was deployed on an autonomous vehicle. The controller attenuates the emanant traffic waves by regulating its velocity according to the relative distance and velocity of the leader car. While regulating the velocity, the controller also prevents the collision of the eg…

Delegations as Adaptive Representation Patterns: Rethinking Influence in Liquid Democracy
Davide Grossi, Andreas Nitsche
https://arxiv.org/abs/2506.09789 h…

Delegations as Adaptive Representation Patterns: Rethinking Influence in Liquid Democracy
Liquid democracy is a mechanism for the division of labor in decision-making through the transitive delegation of influence. In essence, all individuals possess the autonomy to determine the issues with which they will engage directly, while for other matters, they may appoint a representative of their choosing. So far, the literature has studied the delegation structures emerging in liquid democracy as static. As a result, transitivity defined as the capacity to transfer acquired authority to …

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/6]:
- TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy
Carri\'on, Bai, Castro, Panaganti, Zenith, Trang, Zhang, Perona, Malik

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Sonny T. Jones, Grange M. Simpson, Patrick M. Pilarski, Ashley N. Dalrymple
https://arxiv.org/abs/2507.16983

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Rehabilitation technology is a natural setting to study the shared learning and decision-making of human and machine agents. In this work, we explore the use of Hierarchical Reinforcement Learning (HRL) to develop adaptive control strategies for lower-limb exoskeletons, aiming to enhance mobility and autonomy for individuals with motor impairments. Inspired by prominent models of biological sensorimotor processing, our investigated HRL approach breaks down the complex task of exoskeleton contro…

Developer Perceptions on Utilising Low-Code Approaches to Build Accessible and Adaptive Applications for Seniors
Shavindra Wickramathilaka, John Grundy, Kashumi Madampe, Omar Haggag
https://arxiv.org/abs/2508.02968

Developer Perceptions on Utilising Low-Code Approaches to Build Accessible and Adaptive Applications for Seniors
The global ageing population presents a growing societal challenge, creating an urgent need for inclusive technologies that promote autonomy among older adults. Software practitioners can address this by delivering digital services that enhance seniors' independence and reduce reliance on routine support from family members and healthcare infrastructure. However, traditional development practices, constrained by time and resources, often result in applications with major accessibility and perso…

AI-based Clinical Decision Support for Primary Care: A Real-World Study
Robert Korom, Sarah Kiptinness, Najib Adan, Kassim Said, Catherine Ithuli, Oliver Rotich, Boniface Kimani, Irene King'ori, Stellah Kamau, Elizabeth Atemba, Muna Aden, Preston Bowman, Michael Sharman, Rebecca Soskin Hicks, Rebecca Distler, Johannes Heidecke, Rahul K. Arora, Karan Singhal

AI-based Clinical Decision Support for Primary Care: A Real-World Study
We evaluate the impact of large language model-based clinical decision support in live care. In partnership with Penda Health, a network of primary care clinics in Nairobi, Kenya, we studied AI Consult, a tool that serves as a safety net for clinicians by identifying potential documentation and clinical decision-making errors. AI Consult integrates into clinician workflows, activating only when needed and preserving clinician autonomy. We conducted a quality improvement study, comparing outcome…

PyGemini: Unified Software Development towards Maritime Autonomy Systems
Kjetil Vasstein, Christian Le, Simon Lerv{\aa}g Breivik, Trygve Maukon Myhr, Annette Stahl, Edmund F{\o}rland Brekke
https://arxiv.org/abs/2506.06262

PyGemini: Unified Software Development towards Maritime Autonomy Systems
Ensuring the safety and certifiability of autonomous surface vessels (ASVs) requires robust decision-making systems, supported by extensive simulation, testing, and validation across a broad range of scenarios. However, the current landscape of maritime autonomy development is fragmented -- relying on disparate tools for communication, simulation, monitoring, and system integration -- which hampers interdisciplinary collaboration and inhibits the creation of compelling assurance cases, demanded…

On the Virtues of Information Security in the UK Climate Movement
Mikaela Brough, Rikke Bjerg Jensen, Martin R. Albrecht
https://arxiv.org/abs/2506.09719 h…

On the Virtues of Information Security in the UK Climate Movement
We report on an ethnographic study with members of the climate movement in the United Kingdom (UK). We conducted participant observation and interviews at protests and in various activist settings. Reporting on the findings as they relate to information security, we show that members of the UK climate movement wrestled with (i) a fundamental tension between openness and secrecy; (ii) tensions between autonomy and collective interdependence in information-security decision-making; (iii) conflict…

Decentralized Modeling of Vehicular Maneuvers and Interactions at Urban Junctions
Saeed Rahmani, Simeon C. Calvert, Bart van Arem
https://arxiv.org/abs/2507.21547 https://

Decentralized Modeling of Vehicular Maneuvers and Interactions at Urban Junctions
Modeling and evaluation of automated vehicles (AVs) in mixed-autonomy traffic is essential prior to their safe and efficient deployment. This is especially important at urban junctions where complex multi-agent interactions occur. Current approaches for modeling vehicular maneuvers and interactions at urban junctions have limitations in formulating non-cooperative interactions and vehicle dynamics within a unified mathematical framework. Previous studies either assume predefined paths or rely o…

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- From Autonomy to Agency: Agentic Vehicles for Human-Centered Mobility Systems
Jiangbo Yu

HabSim: Architecture for modelling disruptions, propagation, detection and repair in deep space habitats
Luca Vaccino, Alana K. Lund, Shirley J. Dyke, Mohsen Azimi, Ethan Vallerga
https://arxiv.org/abs/2506.08903

HabSim: Architecture for modelling disruptions, propagation, detection and repair in deep space habitats
Establishing long-term human settlements in deep space presents significant challenges. Harsh environmental conditions, such as extreme temperature fluctuations, micrometeorite impacts, seismic activity, and exposure to solar and cosmic radiation pose obstacles to the design and operation of habitat systems. Prolonged mission duration and the vast distances from Earth introduce further complications in the form of delayed communication and limited resources, making autonomy especially desirable…

Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Sahar Salimpour, Lei Fu, Farhad Keramat, Leonardo Militano, Giovanni Toffetti, Harry Edelman, Jorge Pe\~na Queralta
https://arxiv.org/abs/2508.05294

Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Foundation models, including large language models (LLMs) and vision-language models (VLMs), have recently enabled novel approaches to robot autonomy and human-robot interfaces. In parallel, vision-language-action models (VLAs) or large behavior models (BLMs) are increasing the dexterity and capabilities of robotic systems. This survey paper focuses on those words advancing towards agentic applications and architectures. This includes initial efforts exploring GPT-style interfaces to tooling, a…

#wordweavers 26. If you were starting an anthology of short stories, what theme would be easiest for you?
Loss.
Loss of freedom. Loss of autonomy. Loss of agency. Loss of control. Loss of self-confidence. Loss of independence. Loss of dignity.
How much can you loose without actually losing yourself?

Agentic AI in Product Management: A Co-Evolutionary Model
Nishant A. Parikh
https://arxiv.org/abs/2507.01069 https://arxiv.org/pdf/25…

Agentic AI in Product Management: A Co-Evolutionary Model
This study explores agentic AI's transformative role in product management, proposing a conceptual co-evolutionary framework to guide its integration across the product lifecycle. Agentic AI, characterized by autonomy, goal-driven behavior, and multi-agent collaboration, redefines product managers (PMs) as orchestrators of socio-technical ecosystems. Using systems theory, co-evolutionary theory, and human-AI interaction theory, the framework maps agentic AI capabilities in discovery, scoping, b…

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation
Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
https://arxiv.org/abs/2506.00138

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation
Autonomy is a hallmark of animal intelligence, enabling adaptive and intelligent behavior in complex environments without relying on external reward or task structure. Existing reinforcement learning approaches to exploration in sparse reward and reward-free environments, including class of methods known as intrinsic motivation, exhibit inconsistent exploration patterns and thus fail to produce robust autonomous behaviors observed in animals. Moreover, systems neuroscience has largely overlooke…

A Survey on Code Generation with LLM-based Agents
Yihong Dong, Xue Jiang, Jiaru Qian, Tian Wang, Kechi Zhang, Zhi Jin, Ge Li
https://arxiv.org/abs/2508.00083 https://

A Survey on Code Generation with LLM-based Agents
Code generation agents powered by large language models (LLMs) are revolutionizing the software development paradigm. Distinct from previous code generation techniques, code generation agents are characterized by three core features. 1) Autonomy: the ability to independently manage the entire workflow, from task decomposition to coding and debugging. 2) Expanded task scope: capabilities that extend beyond generating code snippets to encompass the full software development lifecycle (SDLC). 3) E…

Distributed AI Agents for Cognitive Underwater Robot Autonomy
Markus Buchholz, Ignacio Carlucho, Michele Grimaldi, Yvan R. Petillot
https://arxiv.org/abs/2507.23735 https://

Distributed AI Agents for Cognitive Underwater Robot Autonomy
Achieving robust cognitive autonomy in robots navigating complex, unpredictable environments remains a fundamental challenge in robotics. This paper presents Underwater Robot Self-Organizing Autonomy (UROSA), a groundbreaking architecture leveraging distributed Large Language Model AI agents integrated within the Robot Operating System 2 (ROS 2) framework to enable advanced cognitive capabilities in Autonomous Underwater Vehicles. UROSA decentralises cognition into specialised AI agents respons…

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
Zeinab Nezami, Syed Danial Ali Shah, Maryam Hafeez, Karim Djemame, Syed Ali Raza Zaidi
https://arxiv.org/abs/2505.23710

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
This paper envisions 6G as a self-evolving telecom ecosystem, where AI-driven intelligence enables dynamic adaptation beyond static connectivity. We explore the key enablers of autonomous communication systems, spanning reconfigurable infrastructure, adaptive middleware, and intelligent network functions, alongside multi-agent collaboration for distributed decision-making. We explore how these methodologies align with emerging industrial IoT frameworks, ensuring seamless integration within digi…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/5]:
- Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
Tang, Jin, Zhu, Yuan, Zhang, Zhou, Qu, Zhao, Tang, Zhang, Cohan, Lu, Gerstein

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- The Autonomy of the Lightning Network: A Mathematical and Economic Proof of Structural Decoupling...
Craig Steven Wright

OpenRASE: Service Function Chain Emulation
Theviyanthan Krishnamohan, Paul Harvey
https://arxiv.org/abs/2507.22131 https://arxiv.org/pdf/2507.22131

OpenRASE: Service Function Chain Emulation
Service Function Chains (SFCs) are one of the key enablers in providing programmable computer networks, paving the way for network autonomy. However, this also introduces new challenges, such as resource allocation and optimisation related to their operation, requiring new algorithms to address these challenges. Various tools have been used in the literature to evaluate these algorithms. However, these tools suffer from inaccuracy, low fidelity, unscalability, inflexibility, or additional code …

Exploring Micro Accidents and Driver Responses in Automated Driving: Insights from Real-world Videos
Wei Xiang, Chuyue Zhang, Jie Yan
https://arxiv.org/abs/2508.07256 https://…

Exploring Micro Accidents and Driver Responses in Automated Driving: Insights from Real-world Videos
Automated driving in level 3 autonomy has been adopted by multiple companies such as Tesla and BMW, alleviating the burden on drivers while unveiling new complexities. This article focused on the under-explored territory of micro accidents during automated driving, characterized as not fatal but abnormal aberrations such as abrupt deceleration and snake driving. These micro accidents are basic yet pervasive events that might results in more severe accidents. Through collecting a comprehensive d…

A New Perspective On AI Safety Through Control Theory Methodologies
Lars Ullrich, Walter Zimmer, Ross Greer, Knut Graichen, Alois C. Knoll, Mohan Trivedi
https://arxiv.org/abs/2506.23703

A New Perspective On AI Safety Through Control Theory Methodologies
While artificial intelligence (AI) is advancing rapidly and mastering increasingly complex problems with astonishing performance, the safety assurance of such systems is a major concern. Particularly in the context of safety-critical, real-world cyber-physical systems, AI promises to achieve a new level of autonomy but is hampered by a lack of safety assurance. While data-driven control takes up recent developments in AI to improve control systems, control theory in general could be leveraged t…

Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles
R. Spencer Hallyburton, Miroslav Pajic
https://arxiv.org/abs/2507.17875 https://arxiv.org/pd…

Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles
Multi-agent collaboration enhances situational awareness in intelligence, surveillance, and reconnaissance (ISR) missions. Ad hoc networks of unmanned aerial vehicles (UAVs) allow for real-time data sharing, but they face security challenges due to their decentralized nature, making them vulnerable to cyber-physical attacks. This paper introduces a trust-based framework for assured sensor fusion in distributed multi-agent networks, utilizing a hidden Markov model (HMM)-based approach to estimat…

Multi Layered Autonomy and AI Ecologies in Robotic Art Installations
Baoyang Chen, Xian Xu, Huamin Qu
https://arxiv.org/abs/2506.02606 https://

Multi Layered Autonomy and AI Ecologies in Robotic Art Installations
Symbiosis of Agents is a large-scale installation by Baoyang Chen that embeds AI-driven robots in an immersive, mirror-lined arena, probing the tension between machine agency and artistic authorship. Drawing on early cybernetics, rule-based conceptual art, and seminal robotic works, it orchestrates fluid exchanges among robotic arms, quadruped machines, their environment, and the public. A three tier faith system pilots the ecology: micro-level adaptive tactics, meso-level narrative drives, and…

Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures
Nils Mandischer, Larissa F\"uller, Torsten Alles, Frank Flemisch, Lars Mikelsons
https://arxiv.org/abs/2507.07560

Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures
Human and automation capabilities are the foundation of every human-autonomy interaction and interaction pattern. Therefore, machines need to understand the capacity and performance of human doing, and adapt their own behavior, accordingly. In this work, we address the concept of conjugated capabilities, i.e. capabilities that are dependent or interrelated and between which effort can be distributed. These may be used to overcome human limitations, by shifting effort from a deficient to a conju…

Innovative Research on IoT Architecture and Robotic Operating Platforms: Applications of Large Language Models and Generative AI
Huiwen Han
https://arxiv.org/abs/2506.22477

Innovative Research on IoT Architecture and Robotic Operating Platforms: Applications of Large Language Models and Generative AI
This paper introduces an innovative design for robotic operating platforms, underpinned by a transformative Internet of Things (IoT) architecture, seamlessly integrating cutting-edge technologies such as large language models (LLMs), generative AI, edge computing, and 5G networks. The proposed platform aims to elevate the intelligence and autonomy of IoT systems and robotics, enabling them to make real-time decisions and adapt dynamically to changing environments. Through a series of compelling…

Magentic-UI: Towards Human-in-the-loop Agentic Systems
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
http…

Magentic-UI: Towards Human-in-the-loop Agentic Systems
AI agents powered by large language models are increasingly capable of autonomously completing complex, multi-step tasks using external tools. Yet, they still fall short of human-level performance in most domains including computer use, software development, and research. Their growing autonomy and ability to interact with the outside world, also introduces safety and security risks including potentially misaligned actions and adversarial manipulation. We argue that human-in-the-loop agentic sy…

Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation
Michele Grimaldi, Carlo Cernicchiaro, Sebastian Realpe Rua, Alaaeddine El-Masri-El-Chaarani, Markus Buchholz, Loizos Michael, Pere Ridao Rodriguez, Ignacio Carlucho, Yvan R. Petillot
https://arxiv.org/abs/2507.2…

Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation
Robotic platforms have become essential for marine operations by providing regular and continuous access to offshore assets, such as underwater infrastructure inspection, environmental monitoring, and resource exploration. However, the complex and dynamic nature of underwater environments, characterized by limited visibility, unpredictable currents, and communication constraints, presents significant challenges that demand advanced autonomy while ensuring operator trust and oversight. Central t…

Information Bulletin Strategy in Impatient Queuing
Anthony Kiggundu, Bin Han, Hans D. Schotten
https://arxiv.org/abs/2508.04241 https://arxiv.org/pdf/2508.…

Information Bulletin Strategy in Impatient Queuing
In Sixth Generation (6G) networks, decentralized control in multi-tenant systems is a suggested enabler for autonomous network operations. However, autonomy requires independent rationale decisions be taken by tenants. This rationality can only be underpinned by timely and continuous access to status information. Despite its importance, the questions of what information should be shared, how much should be communicated, and how frequently updates should be dispatched remain open research challe…

Sign Language: Towards Sign Understanding for Robot Autonomy
Ayush Agrawal, Joel Loo, Nicky Zimmerman, David Hsu
https://arxiv.org/abs/2506.02556 https://

Sign Language: Towards Sign Understanding for Robot Autonomy
Signage is an ubiquitous element of human environments, playing a critical role in both scene understanding and navigation. For autonomous systems to fully interpret human environments, effectively parsing and understanding signs is essential. We introduce the task of navigational sign understanding, aimed at extracting navigational cues from signs that convey symbolic spatial information about the scene. Specifically, we focus on signs capturing directional cues that point toward distant locat…

This https://arxiv.org/abs/2505.08230 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments
Distributed LiDAR SLAM is crucial for achieving efficient robot autonomy and improving the scalability of mapping. However, two issues need to be considered when applying it in field environments: one is resource limitation, and the other is inter/intra-robot association. The resource limitation issue arises when the data size exceeds the processing capacity of the network or memory, especially when utilizing communication systems or onboard computers in the field. The inter/intra-robot associa…

The Singapore Consensus on Global AI Safety Research Priorities
Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, S\"oren Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Sim\'eon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnes Delaborde, Nouha Dziri, Francisco Eiras, J…

The Singapore Consensus on Global AI Safety Research Priorities
Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy, reliable, and secure. Building a trusted ecosystem is therefore essential -- it helps people embrace AI with confidence and gives maximal space for innovation while avoiding backlash. The "2025 Singapore Conference on AI (SCAI): International Scientific Exchange on AI Safety" aimed to support research in this space…

RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
Isaac Marroqui Penalva, Enrique Tom\'as Mart\'inez Beltr\'an, Manuel Gil P\'erez, Alberto Huertas Celdr\'an
https://arxiv.org/abs/2506.19892

RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
Decentralized Federated Learning (DFL) enables nodes to collaboratively train models without a central server, introducing new vulnerabilities since each node independently selects peers for model aggregation. Malicious nodes may exploit this autonomy by sending corrupted models (model poisoning), delaying model submissions (delay attack), or flooding the network with excessive messages, negatively affecting system performance. Existing solutions often depend on rigid configurations or addition…

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs
Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
https://arxiv.org/abs/2506.08045

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs
Agentic UAVs represent a new frontier in autonomous aerial intelligence, integrating perception, decision-making, memory, and collaborative planning to operate adaptively in complex, real-world environments. Driven by recent advances in Agentic AI, these systems surpass traditional UAVs by exhibiting goal-driven behavior, contextual reasoning, and interactive autonomy. We provide a comprehensive foundation for understanding the architectural components and enabling technologies that distinguish…

Mixed Traffic: A Perspective from Long Duration Autonomy
Filippos Tzortzoglou, Logan E. Beaver
https://arxiv.org/abs/2506.15004 https://

Mixed Traffic: A Perspective from Long Duration Autonomy
The rapid adoption of autonomous vehicle has established mixed traffic environments, comprising both autonomous and human-driven vehicles (HDVs), as essential components of next-generation mobility systems. Along these lines, connectivity between autonomous vehicles and infrastructure (V2I) is also a significant factor that can effectively support higher-level decision-making. At the same time, the integration of V2I within mixed traffic environments remains a timely and challenging problem. In…

This https://arxiv.org/abs/2409.18122 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

RT-GuIDE: Real-Time Gaussian splatting for Information-Driven Exploration
We propose a framework for active mapping and exploration that leverages Gaussian splatting for constructing dense maps. Further, we develop a GPU-accelerated motion planning algorithm that can exploit the Gaussian map for real-time navigation. The Gaussian map constructed onboard the robot is optimized for both photometric and geometric quality while enabling real-time situational awareness for autonomy. We show through simulation experiments that our method yields comparable Peak Signal-to-No…

Insights from Railway Professionals: Rethinking Railway assumptions regarding safety and autonomy
Josh Hunter, John McDermid, Simon Burton
https://arxiv.org/abs/2507.17756 https…

Insights from Railway Professionals: Rethinking Railway assumptions regarding safety and autonomy
This study investigates how railway professionals perceive safety as a concept within rail, with the intention to help inform future technological developments within the industry. Through a series of interviews with drivers, route planners,and administrative personnel, the research explores the currentstate of safety practices, the potential for automation and the understanding of the railway as a system of systems. Key findings highlight a cautious attitude towards automation, a preference fo…

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
Woonsang Kang, Joohyung Lee, Seungjun Kim, Jungchan Cho, Yoonseon Oh
https://arxiv.org/abs/2507.05861

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challenges. Federated Learning (FL) offers a privacy-preserving solution, but its application to GPD is hindered by the substantial communication overhead of large models, a key issue for resource-constrained robots. To address this, we propose a novel module-wise FL framework that begins by analyzing the learning dynamics o…

NOVA: Navigation via Object-Centric Visual Autonomy for High-Speed Target Tracking in Unstructured GPS-Denied Environments
Alessandro Saviolo, Giuseppe Loianno
https://arxiv.org/abs/2506.18689

NOVA: Navigation via Object-Centric Visual Autonomy for High-Speed Target Tracking in Unstructured GPS-Denied Environments
Autonomous aerial target tracking in unstructured and GPS-denied environments remains a fundamental challenge in robotics. Many existing methods rely on motion capture systems, pre-mapped scenes, or feature-based localization to ensure safety and control, limiting their deployment in real-world conditions. We introduce NOVA, a fully onboard, object-centric framework that enables robust target tracking and collision-aware navigation using only a stereo camera and an IMU. Rather than constructing…

This https://arxiv.org/abs/2506.02606 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Multi Layered Autonomy and AI Ecologies in Robotic Art Installations
Symbiosis of Agents is a large-scale installation by Baoyang Chen that embeds AI-driven robots in an immersive, mirror-lined arena, probing the tension between machine agency and artistic authorship. Drawing on early cybernetics, rule-based conceptual art, and seminal robotic works, it orchestrates fluid exchanges among robotic arms, quadruped machines, their environment, and the public. A three tier faith system pilots the ecology: micro-level adaptive tactics, meso-level narrative drives, and…

This https://arxiv.org/abs/2505.06787 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Digital-physical testbed for ship autonomy studies in the Marine Cybernetics Laboratory basin
The algorithms developed for Maritime Autonomous Surface Ships (MASS) are often challenging to test on actual vessels due to high operational costs and safety considerations. Simulations offer a cost-effective alternative and eliminate risks, but they may not accurately represent real-world dynamics for the given tasks. Utilizing small-scale model ships and robotic vessels in conjunction with a laboratory basin provides an accessible testing environment for the early stages of validation proces…

This https://arxiv.org/abs/2407.02381 has been replaced.
link: https://scholar.google.com/scholar?q=a

What Should Be Considered to Support well-being with AI: Considerations Based on Responsible Research and Innovation
To achieve people's well-being with AI systems, we should enable each user to be guided to a healthier lifestyle in a way that is appropriate for her or him. However, there is a dilemma between general well-being as defined in academic and medical discussions and the autonomy users should have when deciding how to promote their well-being. In this position paper, we discuss the difficulty for AI application developers to fully consider in the design phase what might happen to the user, taking a…

This https://arxiv.org/abs/2411.03328 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Foundation Models for Rapid Autonomy Validation
We are motivated by the problem of autonomous vehicle performance validation. A key challenge is that an autonomous vehicle requires testing in every kind of driving scenario it could encounter, including rare events, to provide a strong case for safety and show there is no edge-case pathological behavior. Autonomous vehicle companies rely on potentially millions of miles driven in realistic simulation to expose the driving stack to enough miles to estimate rates and severity of collisions. To …

Large Language Model-Driven Closed-Loop UAV Operation with Semantic Observations
Wenhao Wang, Yanyan Li, Long Jiao, Jiawei Yuan
https://arxiv.org/abs/2507.01930

Large Language Model-Driven Closed-Loop UAV Operation with Semantic Observations
Large Language Models (LLMs) have revolutionized robotic autonomy, including Unmanned Aerial Vehicles (UAVs). Recent studies have demonstrated the potential of LLMs for translating human instructions into executable control code for UAV operations. However, LLMs still face challenges from logical reasoning and complex decision-making, leading to concerns about the reliability of LLM-driven UAV operations. In this paper, we propose a LLM-driven closed-loop control framework that enables reliable…

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving
Tanmay Vilas Samak, Chinmay Vilas Samak, Bing Li, Venkat Krovi
https://arxiv.org/abs/2507.00319

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving
Simulation frameworks have been key enablers for the development and validation of autonomous driving systems. However, existing methods struggle to comprehensively address the autonomy-oriented requirements of balancing: (i) dynamical fidelity, (ii) photorealistic rendering, (iii) context-relevant scenario orchestration, and (iv) real-time performance. To address these limitations, we present a unified framework for creating and curating high-fidelity digital twins to accelerate advancements i…

In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader
W. Jacob Wagner, Ahmet Soylemezoglu, Katherine Driggs-Campbell
https://arxiv.org/abs/2507.22356

In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader
Existing earthmoving autonomy is largely confined to highly controlled and well-characterized environments due to the complexity of vehicle-terrain interaction dynamics and the partial observability of the terrain resulting from unknown and spatially varying soil conditions. In this chapter, a a soil-property mapping system is proposed to extend the environmental state, in order to overcome these restrictions and facilitate development of more robust autonomous earthmoving. A GPU accelerated el…

Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators
Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Wenhao Ding, Sever Topan, Boris Ivanovic, Marco Pavone, Somil Bansal
https://arxiv.org/abs/2507.22389

Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators
The advent of end-to-end autonomy stacks - often lacking interpretable intermediate modules - has placed an increased burden on ensuring that the final output, i.e., the motion plan, is safe in order to validate the safety of the entire stack. This requires a safety monitor that is both complete (able to detect all unsafe plans) and sound (does not flag safe plans). In this work, we propose a principled safety monitor that leverages modern multi-modal trajectory predictors to approximate forwar…

Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving
Chinmay Vilas Samak, Tanmay Vilas Samak, Bing Li, Venkat Krovi
https://arxiv.org/abs/2507.00236

Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving
Simulation-based design, optimization, and validation of autonomous driving algorithms have proven to be crucial for their iterative improvement over the years. Nevertheless, the ultimate measure of effectiveness is their successful transition from simulation to reality (sim2real). However, existing sim2real transfer methods struggle to comprehensively address the autonomy-oriented requirements of balancing: (i) conditioned domain adaptation, (ii) robust performance with limited examples, (iii)…

Ark: An Open-source Python-based Framework for Robot Learning
Magnus Dierking, Christopher E. Mower, Sarthak Das, Huang Helong, Jiacheng Qiu, Cody Reading, Wei Chen, Huidong Liang, Huang Guowei, Jan Peters, Quan Xingyue, Jun Wang, Haitham Bou-Ammar
https://arxiv.org/abs/2506.21628

Ark: An Open-source Python-based Framework for Robot Learning
Robotics has made remarkable hardware strides-from DARPA's Urban and Robotics Challenges to the first humanoid-robot kickboxing tournament-yet commercial autonomy still lags behind progress in machine learning. A major bottleneck is software: current robot stacks demand steep learning curves, low-level C/C++ expertise, fragmented tooling, and intricate hardware integration, in stark contrast to the Python-centric, well-documented ecosystems that propelled modern AI. We introduce ARK, an open-so…

GEAR: Gaze-Enabled Human-Robot Collaborative Assembly
Asad Ali Shahid, Angelo Moroncelli, Drazen Brscic, Takayuki Kanda, Loris Roveda
https://arxiv.org/abs/2507.18947 https://…

GEAR: Gaze-Enabled Human-Robot Collaborative Assembly
Recent progress in robot autonomy and safety has significantly improved human-robot interactions, enabling robots to work alongside humans on various tasks. However, complex assembly tasks still present significant challenges due to inherent task variability and the need for precise operations. This work explores deploying robots in an assistive role for such tasks, where the robot assists by fetching parts while the skilled worker provides high-level guidance and performs the assembly. We intr…

Real-Time Obstacle Avoidance Algorithms for Unmanned Aerial and Ground Vehicles
Jingwen Wei
https://arxiv.org/abs/2506.20311 https://…

Real-Time Obstacle Avoidance Algorithms for Unmanned Aerial and Ground Vehicles
The growing use of mobile robots in sectors such as automotive, agriculture, and rescue operations reflects progress in robotics and autonomy. In unmanned aerial vehicles (UAVs), most research emphasizes visual SLAM, sensor fusion, and path planning. However, applying UAVs to search and rescue missions in disaster zones remains underexplored, especially for autonomous navigation. This report develops methods for real-time and secure UAV maneuvering in complex 3D environments, crucial during f…

Methods for the Segmentation of Reticular Structures Using 3D LiDAR Data: A Comparative Evaluation
Francisco J. Soler Mora, Adri\'an Peidr\'o Vidal, Marc Fabregat-Ja\'en, Luis Pay\'a Castell\'o, \'Oscar Reinoso Garc\'ia
https://arxiv.org/abs/2507.20589

Methods for the Segmentation of Reticular Structures Using 3D LiDAR Data: A Comparative Evaluation
Reticular structures form the backbone of major infrastructure like bridges, pylons, and airports, but their inspection and maintenance are costly and hazardous, often requiring human intervention. While prior research has focused on fault detection via images or robotic platform design, the autonomous navigation of robots within these structures is less explored. This study addresses that gap by proposing methods to detect navigable surfaces in truss structures, enhancing the autonomy of climb…

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
Arup Kumar Sahoo, Itzik Klein
https://arxiv.org/abs/2507.18206 https://a…

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
A fundamental requirement for full autonomy in mobile robots is accurate navigation even in situations where satellite navigation or cameras are unavailable. In such practical situations, relying only on inertial sensors will result in navigation solution drift due to the sensors' inherent noise and error terms. One of the emerging solutions to mitigate drift is to maneuver the robot in a snake-like slithering motion to increase the inertial signal-to-noise ratio, allowing the regression of the…