Extensibility in local sensor based planning for hyper-redundant manipulators (robot snakes)
Howie Choset, Joel W. Burdick
- 发表年份
- 1994
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
: This paper extends a local sensor based planning method for hyper-redundant robot mechanisms. In a previous paper, sensor feedback control methods are considered. A highly localized sensor feedback method for hyper-redundant manipulators is termed, partial shape modification (PSM). A PSM utilizes a mechanism's hyper-redundancy to enable both local obstacle avoidance and end-effector placement in real time. This paper considers the situation in which the limits of a PSM is violated. In other words, what does the robot do when it can not only locally adapt to the environment. Local sensor based planning has been implemented on a thirty degree of freedom hyper-redundant manipulator which has eleven ultrasonic distance measurement sensors and twenty infrared proximity sensors. The robot is controlled by a real time control computer which communicates with sensors through an innovative sensor bus architecture. Experimental results obtained using this test bed show the efficacy of the prop...
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