Whole body motion generation of a humanoid robot using a predifined reaction force
Yuya Hakamata, Satoki Tsuichihara, Jun Takamatsu, Tsukasa Ogasawara
- Year
- 2016
- Citations
- 2
Abstract
We propose a method to generate natural-speed stable motion for a humanoid robot to push or pull an object. In our daily life, we often perform pushing and pulling motions, for example, opening/closing doors, refrigerators, and drawers. Several studies on opening a door using a humanoid robot have been conducted, however, because no prior knowledge about the environment was used in these studies, the motions generated were slower than human motion. To speed up these motions, we propose to use a predifined reaction force as prior knowledge, and to expand the preview control to handle the predifined force. We also propose to accelerate calculation of the Resolved Momentum control used for controlling the center of mass obtained by the preview control. We experimentally verified applicability of the proposed method using the humanoid robot HRP-4.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991