Navigability of multi-legged robots
Y. Go, Xiaolei Yin, Alan Bowling
- 发表年份
- 2006
- 引用次数
- 45
摘要
This paper addresses the improvement of navigability for a six-legged robot through the development of a simple method for measuring heading and drift errors. More specifically, the navigation scheme utilizes both a magnetic compass and landmark navigation to correct these errors with every step, hence limiting error propagation. The approach is aimed at operation in unknown environments. Elaborate data processing in the control algorithm is avoided by using modular sensors capable of processing their own inputs. The robot controller uses the well-known tripod gait, implemented here using the hexapod inverse kinematics. Experimental results show significant improvements in the hexapod's navigability for turning and walking maneuvers.
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