497 citations · 2.1k across the 297 of their papers we have counts for
5 papers · 2 filters
FORM: Robot Manipulation through Direct Material Law Identification
Stepan Tretiakov, Ruihan Zhao, Cheng-Hsi Hsiao +6
When interacting with an unfamiliar deformable material, a robot lacks prior knowledge of its physical properties and how it will respond to applied forces and motion. Rapid online…
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…
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…
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…
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…