3 papers
q-bio.NC2026
Simulating Infant First-Person Sensorimotor Experience via Motion Retargeting from Babies to Humanoids
Francisco M. López, Hoshinori Kanazawa, Ondrej Fiala +8
Motion retargeting from humans to human-like artificial agents is becoming increasingly important as humanoid robots grow more capable. However, most existing approaches focus only…
cs.RO2026
Exploration-assisted Bottleneck Transition Toward Robust and Data-efficient Deformable Object Manipulation
Yujiro Onishi, Ryo Takizawa, Yoshiyuki Ohmura +1
Imitation learning has demonstrated impressive results in robotic manipulation but fails under out-of-distribution (OOD) states. This limitation is particularly critical in Deforma…
cs.RO2025
Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks
Ryo Takizawa, Izumi Karino, Koki Nakagawa +2
Autonomous agents capable of diverse object manipulations should be able to acquire a wide range of manipulation skills with high reusability. Although advances in deep learning ha…