Tootfinder

We are barely 6 months into #TheAmericanFascist Presidency and we already find ourselves with fundamental rights in the American Constitution under direct threat and the power of the judiciary to enforce and check the power of the President being pulled back.
And Democratic Party members seem to be all talk and very very little action or leadership to counter this.
Are they waiting for the midterms to take back Congress?
At this pace, surely they see the risk that there may not BE midterms. Or that the results are negated, disputed or invalidated.
I can’t fathom how they are not removing themselves from Congress now in protest and calling for a general protest/strike of all freedom loving Americans to restore the constitution, force the Trump appointed fascist enabling judges to resign, and force Trump and his Administration to go.
July 4th is coming. Independence Day? Or not? Democracy or not?
#usa

Crowdsourcing eHMI Designs: A Participatory Approach to Autonomous Vehicle-Pedestrian Communication
Ronald Cumbal, Didem Gurdur Broo, Ginevra Castellano
https://arxiv.org/abs/2506.18605

Crowdsourcing eHMI Designs: A Participatory Approach to Autonomous Vehicle-Pedestrian Communication
As autonomous vehicles become more integrated into shared human environments, effective communication with road users is essential for ensuring safety. While previous research has focused on developing external Human-Machine Interfaces (eHMIs) to facilitate these interactions, we argue that involving users in the early creative stages can help address key challenges in the development of this technology. To explore this, our study adopts a participatory, crowd-sourced approach to gather user-ge…

RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
Xinyi Lin, Peizheng Li, Adnan Aijaz
https://arxiv.org/abs/2506.18660

RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
Semantic communication (SemCom) is an emerging paradigm that leverages semantic-level understanding to improve communication efficiency, particularly in resource-constrained scenarios. However, existing SemCom systems often overlook diverse computational and communication capabilities and requirements among different users. Motivated by the need to adaptively balance semantic accuracy, latency, and energy consumption, this paper presents a reinforcement learning (RL)-driven framework for semant…

Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles
Thien Tran, Quang Nguyen, Jonathan Kua, Minh Tran, Toan Luu, Thuong Hoang, Jiong Jin
https://arxiv.org/abs/2506.18024

Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles
Industrial Cyber-Physical Systems (ICPS) technologies are foundational in driving maritime autonomy, particularly for Unmanned Surface Vehicles (USVs). However, onboard computational constraints and communication latency significantly restrict real-time data processing, analysis, and predictive modeling, hence limiting the scalability and responsiveness of maritime ICPS. To overcome these challenges, we propose a distributed Cloud-Edge-IoT architecture tailored for maritime ICPS by leveraging d…

"Anna Gomez doesn’t know how long she’ll remain on the Federal Communications Commission under President Donald Trump. But for the time being, she says she’s speaking out against “this administration’s campaign of censorship and control.”
'I have not been quiet': Federal official urges Americans to fight Trump's censorship - Alternet.org
https://www.alternet.org/push-back-against-trump-to-protect-precious-liberties-lone-democrat-on-fcc-urges-kentuckians/

Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control
Lambert Lee, Joshua Lau
https://arxiv.org/abs/2506.11650 https://

Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control
The Robot Context Protocol (RCP) is a lightweight, middleware-agnostic communication protocol designed to simplify the complexity of robotic systems and enable seamless interaction between robots, users, and autonomous agents. RCP provides a unified and semantically meaningful interface that decouples client-facing operations from backend implementations, supporting a wide range of deployment environments including physical robots, cloud-based orchestrators, and simulated platforms. Built on HT…

An Eye for a Treat: Human Gazing Modulates Begging by Free-ranging Dogs
Sourabh Biswas, Srijaya Nandi, Tuhin Subhra Pal, Aesha Lahiri, Anamitra Roy, Hindolii Gope, Kalyan Ghosh, Anindita Bhadra
https://arxiv.org/abs/2505.17770

An Eye for a Treat: Human Gazing Modulates Begging by Free-ranging Dogs
Interspecific communication plays a critical role in mediating human-animal interactions, particularly in contexts involving access to anthropogenic resources. This study investigates the influence of human gazing on the begging strategies of free-ranging dogs in urban and peri-urban environments. Begging behaviour, commonly observed in dogs seeking food from humans, offers insights into their behavioural flexibility and cognitive attunement to human social cues. We observed 650 adult dogs in b…

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
Yinchao Yang, Zhaohui Yang, Chongwen Huang, Wei Xu, Zhaoyang Zhang, Dusit Niyato, Mohammad Shikh-Bahaei
https://arxiv.org/abs/2506.00522

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
This paper introduces a novel framework for integrated sensing, computing, and semantic communication (ISCSC) within vehicular networks comprising a roadside unit (RSU) and multiple autonomous vehicles. Both the RSU and the vehicles are equipped with local knowledge bases to facilitate semantic communication. The framework incorporates a secure communication design to ensure that messages intended for specific vehicles are protected against interception. In this model, an extended Kalman filter…

Distributed Learning for Reliable and Timely Communication in 6G Industrial Subnetworks
Samira Abdelrahman, Hossam Farag, Gilberto Berardinelli
https://arxiv.org/abs/2506.11749

Distributed Learning for Reliable and Timely Communication in 6G Industrial Subnetworks
Emerging 6G industrial networks envision autonomous in-X subnetworks to support efficient and cost-effective short range, localized connectivity for autonomous control operations. Supporting timely transmission of event-driven, critical control traffic is challenging in such networks is challenging due to limited radio resources, dynamic device activity, and high mobility. In this paper, we propose a distributed, learning-based random access protocol that establishes implicit inter-subnetwork c…

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-…