Improvement of humanoid walking control by compensating actuator elasticity
Jeeseop Kim, Mingon Kim, Jaeheung Park
- 发表年份
- 2016
- 引用次数
- 8
摘要
The actuators in humanoid robots inevitably have compliance in their joint mechanisms. The joint elasticity often negatively affects static and dynamic performance of the robot. In the specific case of humanoid walking, the elasticity in the actuators can create problems not only on the performance but also on the stability, which is most critical for walking. In this paper, the joint deformation is modeled and its compensation method is proposed to improve walking control performance and stability. The proposed algorithm is implemented on our humanoid robot and its performance is demonstrated by improved stability of walking.
关键词
相关论文
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