Analysis of Human-Inspired Biped Walk Characteristics in a Prototype Humanoid Robot for Improvement of Walking Speed
Hanafiah Yussof, Masahiro Ohka, Mitsuhiro Yamano, Yasuo Nasu
- 发表年份
- 2008
- 引用次数
- 3
摘要
This paper presents analysis of biped locomotion based on human's walking characteristics to improve walking speed in humanoid robotics. The analysis is focus on improvement of walking speed without changing reduction-ratio at the robot's joint-motor system. Three parameters are considered: step length, hip-joint height and duty-ratio. We use humanoid robot Bonten-Maru II as an analysis platform. Analysis based on simulations and experiments are conducted. In addition, formulations to define efficient gait pattern are also presented. The simulation analysis and experimental results with Bonten-Maru II reveals good performance in biped locomotion to improve walking speed and travel distance of the humanoid robot without changing reduction-ratio at joint-motor system.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002