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Hideaki Ito

2 accepted papers

2020

Learning of Tool Force Adjustment Skills by a Life-sized Humanoid using Deep Reinforcement Learning and Active Teaching Request

IROS 2020poster

The purpose of this study is to make life-sized humanoid robots acquire tool manipulation skills that require complicated force adjustment. The difficulty in acquisition of tool manipulation skills comes from the hardship in physical modeling. Recent research have revealed that deep reinforcement le…

Cited by 4SourceScholar
2019

Whole-Body Control of Humanoid Robot in 3D Multi-Contact under Contact Wrench Constraints Including Joint Load Reduction with Self-Collision and Internal Wrench Distribution

IROS 2019poster

In this paper, we propose an approach for online whole-body control of position-controlled humanoid robot with 3D multi-contact to cope with contact wrench constraints and joint overload. In our method, robots are controlled under contact wrench constraints with three features: 1) internal wrench co…

Cited by 3SourceScholar