Tootfinder

Virtual Community: An Open World for Humans, Robots, and Society
Qinhong Zhou, Hongxin Zhang, Xiangye Lin, Zheyuan Zhang, Yutian Chen, Wenjun Liu, Zunzhe Zhang, Sunli Chen, Lixing Fang, Qiushi Lyu, Xinyu Sun, Jincheng Yang, Zeyuan Wang, Bao Chi Dang, Zhehuan Chen, Daksha Ladia, Jiageng Liu, Chuang Gan
https://arxiv.org/abs/2508.14893

Virtual Community: An Open World for Humans, Robots, and Society
The rapid progress in AI and Robotics may lead to a profound societal transformation, as humans and robots begin to coexist within shared communities, introducing both opportunities and challenges. To explore this future, we present Virtual Community-an open-world platform for humans, robots, and society-built on a universal physics engine and grounded in real-world 3D scenes. With Virtual Community, we aim to study embodied social intelligence at scale: 1) How robots can intelligently cooperat…

Segregation and cooperation in active colloidal binary mixtures
Laura Alvarez, Elena Ses\'e-Sansa, Demian Levis, Ignacio Pagonabarraga, Lucio Isa
https://arxiv.org/abs/2506.15188

Segregation and cooperation in active colloidal binary mixtures
The complex interactions underlying collective motion in biological systems give rise to emergent behaviours such as flocking, sorting, and cooperative transport. These dynamics often involve species with different motilities coordinating movement to optimize navigation and survival. Synthetic analogues based on active colloids offer a controlled platform to explore such behaviours, yet most experimental realizations remain limited to monodisperse systems or mixtures of passive and active parti…

Research on GEO SA-Bi SAR Imaging based on Joint Radar-Communications Waveform
Meng Lian, Xu Zhu
https://arxiv.org/abs/2508.12890 https://arxiv.org/pdf/250…

Research on GEO SA-Bi SAR Imaging based on Joint Radar-Communications Waveform
Joint radar-communications (JRC) technology has attracted massive attention for decades, since it can effectively utilize allocated spectral resources by sharing frequency bands in increasingly crowded environments. In addition, the growing demand for hardware platform sharing which benefits both functionalities motivates more cooperation between radar and communication systems. In order to achieve the coexistence of sensing and communicating operations, joint systems should be designed to perf…

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Ilias Chatzistefanidis, Andrea Leone, Ali Yaghoubian, Mikel Irazabal, Sehad Nassim, Lina Bariah, Merouane Debbah, Navid Nikaein
https://arxiv.org/abs/2508.09197

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Future 6G radio access networks (RANs) will be artificial intelligence (AI)-native: observed, reasoned about, and re-configured by autonomous agents cooperating across the cloud-edge continuum. We introduce MX-AI, the first end-to-end agentic system that (i) instruments a live 5G Open RAN testbed based on OpenAirInterface (OAI) and FlexRIC, (ii) deploys a graph of Large-Language-Model (LLM)-powered agents inside the Service Management and Orchestration (SMO) layer, and (iii) exposes both observ…

Governance and Technological Challenge in Digital Solidarity Economies: A Case Study of a Collaborative Transportation Platform in South Korea
Jeongone Seo, Tawfiq Ammari
https://arxiv.org/abs/2507.04166

Governance and Technological Challenge in Digital Solidarity Economies: A Case Study of a Collaborative Transportation Platform in South Korea
South Korea's City P illustrates how lofty goals of digital solidarity can falter when challenged by local governance realities. Drawing on Hansmann's ownership theory, collaborative governance concepts, and platform cooperativism, we conducted a qualitative case study involving policy documents, independent assessments, and 11 in-depth interviews with residents, officials, and technology developers. Findings reveal a marked disconnect between the initiative's stated emphasis on community co-ow…

Since migrating away from big tech platforms (including Google Drive) I have been using Libreoffice for my writing and presentations.
I often get asked why I do not use OnlyOffice since it looks so much better (especially the web client). Two answers:
- The presentation tools of OnlyOffice are too barebones
But more importantly:
OnlyOffice is a company that seems to be controlled by a Russian guy who invests a lot of time to hide the fact that OnlyOffice is Russian (see…

Comparing Collabora with OnlyOffice
Collabora Online provides excellent interoperabilty, efficient backend for scalability, best privacy, and a rich interface for cooperation and editing docx, xlsx, pptx and odf

This https://arxiv.org/abs/2505.20751 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Interactive OT Gym: A Reinforcement Learning-Based Interactive Optical tweezer (OT)-Driven Microrobotics Simulation Platform
Optical tweezers (OT) offer unparalleled capabilities for micromanipulation with submicron precision in biomedical applications. However, controlling conventional multi-trap OT to achieve cooperative manipulation of multiple complex-shaped microrobots in dynamic environments poses a significant challenge. To address this, we introduce Interactive OT Gym, a reinforcement learning (RL)-based simulation platform designed for OT-driven microrobotics. Our platform supports complex physical field sim…

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
Ziye Jia, Can Cui, Chao Dong, Qihui Wu, Zhuang Ling, Dusit Niyato, Zhu Han
https://arxiv.org/abs/2506.01972

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
With an extensive increment of computation demands, the aerial multi-access edge computing (MEC), mainly based on unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs), plays significant roles in future network scenarios. In detail, UAVs can be flexibly deployed, while HAPs are characterized with large capacity and stability. Hence, in this paper, we provide a hierarchical model composed of an HAP and multi-UAVs, to provide aerial MEC services. Moreover, considering the errors of c…

Collaborative Last-Mile Delivery: A Multi-Platform Vehicle Routing Problem With En-route Charging
Sumbal Malik, Majid Khonji, Khaled Elbassioni, Jorge Dias
https://arxiv.org/abs/2505.23584

Collaborative Last-Mile Delivery: A Multi-Platform Vehicle Routing Problem With En-route Charging
The rapid growth of e-commerce and the increasing demand for timely, cost-effective last-mile delivery have increased interest in collaborative logistics. This research introduces a novel collaborative synchronized multi-platform vehicle routing problem with drones and robots (VRP-DR), where a fleet of $\mathcal{M}$ trucks, $\mathcal{N}$ drones and $\mathcal{K}$ robots, cooperatively delivers parcels. Trucks serve as mobile platforms, enabling the launching, retrieving, and en-route charging of…

Position and Velocity Estimation Accuracy in MIMO-OFDM ISAC Networks: A Fisher Information Analysis
Lorenzo Pucci, Luca Arcangeloni, Andrea Giorgetti
https://arxiv.org/abs/2507.01743

Position and Velocity Estimation Accuracy in MIMO-OFDM ISAC Networks: A Fisher Information Analysis
Integrated sensing and communication (ISAC) is a core technology for future wireless networks, enabling high-resolution sensing and reliable data transmission within a unified radio platform. This paper develops a theoretical framework to assess the estimation accuracy of target position and velocity in heterogeneous orthogonal frequency division multiplexing (OFDM)-based ISAC networks with multiple cooperative and distributed multiple-input multiple-output (MIMO) base stations (BSs). Using Fis…