Ryo Watanabe

2 accepted papers

2025

DFM: Deep Fourier Mimic for Expressive Dance Motion Learning

ICRA 2025

As entertainment robots gain popularity, the demand for natural and expressive motion, particularly in dancing, continues to rise. Traditionally, dancing motions have been manually designed by artists, a process that is both labor-intensive and restricted to simple motion playback, lacking the flexi

Cited by 4 Source ↗Scholar ↗

2025

Learning Quiet Walking for a Small Home Robot

Ryo Watanabe, Takahiro Miki, Fan Shi, Yuki Kadokawa, Filip Bjelonic, Kento Kawaharazuka +2

ICRA 2025

As home robotics gains traction, robots are increasingly integrated into households, offering companionship and assistance. Quadruped robots, particularly those resembling dogs, have emerged as popular alternatives for traditional pets. However, user feedback highlights concerns about the noise thes

Cited by 5 Source ↗Scholar ↗