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Ryo Takizawa

2 accepted papers

2026

Enhancing Reusability of Learned Skills for Robot Manipulation Via Gaze Information and Motion Bottlenecks

ICRA 2026poster

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 have made it increasingly feasible to replicate the dexterity of human teleoperation in robots, generalizing these acquire…

2025

Gaze-Guided Task Decomposition for Imitation Learning in Robotic Manipulation

IROS 2025

In imitation learning for robotic manipulation, decomposing object manipulation tasks into sub-tasks enables the reuse of learned skills and the combination of learned behaviors to perform novel tasks, rather than simply replicating demonstrated motions. Human gaze is closely linked to hand movement

Cited by 5SourcecodeScholar