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From the 4 of 103 linked papers with an AI index.

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20242026
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15 papers · 1 filter

cs.RO2026

Computing on the Fly: Navigating a Vision for the Future of Drone Computing

Kevin Butler, Christopher Stewart, Nils Aschenbruck +4

The report envisions a decade in which drones move goods, medical supplies, and information at a scale comparable to national infrastructure investments like highways and the elect…

cs.RO2026

Path Planning in Physically Viable World Models

Su Ann Low, Cheng-Hsi Hsiao, Xingjian Li +3

Robots deployed in unstructured outdoor environments often plan from scene reconstructions collected before deployment because operators cannot remap large or remote sites before e…

cs.RO2026

VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents

Yunhao Yang, Neel P. Bhatt, Kevin Wang +3

Reusable robot skills are becoming the basic units through which embodied agents turn open-ended instructions into long-horizon physical behavior. We argue that, while foundation m…

cs.RO2026

LAD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback

Yunhao Yang, Junyuan Hong, Gabriel Jacob Perin +4

Large language models (LLMs) can translate natural language instructions into executable action plans for robotics, autonomous driving, and other domains. Yet, deploying LLM-driven…

cs.RO2026

Zero to Autonomy in Real-Time: Online Adaptation of Dynamics in Unstructured Environments

William Ward, Sarah Etter, Jesse Quattrociocchi +3

Autonomous robots must go from zero prior knowledge to safe control within seconds to operate in unstructured environments. Abrupt terrain changes, such as a sudden transition to i…

cs.RO2026

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing

Alex Zongo, Filippos Fotiadis, Ufuk Topcu +1

We address robust separation assurance for small Unmanned Aircraft Systems (sUAS) under GPS degradation and spoofing via Multi-Agent Reinforcement Learning (MARL). In cooperative s…