3 papers
cs.RO2026
SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning
David D. Yuan, Tony Z. Zhao, Kaylee Burns +1
While learned robotic policies hold promise for advancing generalizable manipulation, their practical deployment is often hindered by suboptimal execution speeds. Imitation learnin…
cs.RO2025
RoboCrowd: Scaling Robot Data Collection through Crowdsourcing
Suvir Mirchandani, David D. Yuan, Kaylee Burns +4
In recent years, imitation learning from large-scale human demonstrations has emerged as a promising paradigm for training robot policies. However, the burden of collecting large q…
cs.RO2025
Force-Aware Autonomous Robotic Surgery
Alaa Eldin Abdelaal, Jiaying Fang, Tim N. Reinhart +4
This work demonstrates the benefits of using tool-tissue interaction forces in the design of autonomous systems in robot-assisted surgery (RAS). Autonomous systems in surgery must…