3 papers
cs.RO2026
Steertuning Policies from a Few Human Videos
Billy Yan, Isaac Tu, Kelly Lee +8
Current recipes for robot learning require massive amounts of robot demonstrations to obtain robust and adaptive policies. In this work, we introduce Steertuning, a system that ena…
cs.RO2026
Human Universal Grasping
Kevin Yuanbo Wu, Tianxing Zhou, Isaac Tu +5
Humans can grasp objects effortlessly, whereas multi-fingered robots are far from this level of generality. We argue that the most natural source of robot grasping data is from hum…
cs.RO2025
RUKA: Rethinking the Design of Humanoid Hands with Learning
Anya Zorin, Irmak Guzey, Billy Yan +4
Dexterous manipulation is a fundamental capability for robotic systems, yet progress has been limited by hardware trade-offs between precision, compactness, strength, and affordabi…