3 papers
cs.RO2026
When Absolute State Fails: Evaluating Proprioceptive Encodings for Robust Manipulation
Maxime Alvarez, Ryo Watanabe, Paul Crook +4
As end-to-end robotic policies are progressively deployed in the real world to solve real tasks, they face a gap between the training and inference conditions. Scaling the amount a…
cs.RO2025
Learning Quiet Walking for a Small Home Robot
Ryo Watanabe, Takahiro Miki, Fan Shi +5
As home robotics gains traction, robots are increasingly integrated into households, offering companionship and assistance. Quadruped robots, particularly those resembling dogs, ha…
cs.RO2025
DFM: Deep Fourier Mimic for Expressive Dance Motion Learning
Ryo Watanabe, Chenhao Li, Marco Hutter
As entertainment robots gain popularity, the demand for natural and expressive motion, particularly in dancing, continues to rise. Traditionally, dancing motions have been manually…