Evaluation of ground slippery condition during walk of bipedal robot using MEMS slip sensor
Taiyu Okatani, Hidetoshi Takahashi, Tomoyuki Takahata, Isao Shimoyama
- 发表年份
- 2017
- 引用次数
- 8
摘要
This paper reports on a method to evaluate ground slippery condition using a MEMS slip sensor. The sensor discriminates between ground slippery and non-slippery conditions during walking motions of a bipedal robot, which enables the robot to prevent a slip. First, we evaluated the responses of the sensor pressed against an oiled or non-oiled surface. Then, we proposed a discriminating method between the oiled and non-oiled surfaces using the sensor. Finally, we demonstrated that a bipedal robot was able to evaluate the slippery condition of the ground where the foot of the robot landed during walk.
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