Obstacle avoidance path planning of a manipulator
Kaichen Xia, Shuang Jiang, Li-Tung Lu
- Year
- 2003
- Citations
- 2
Abstract
This basic robot planning system chooses a motion path to avoid collision with obstacles in workspace. With a camera above the workspace the computer vision can give a simple description of the world model. The presented algorithm transfers a Cartesian description of obstacles into the coordinate of the first three joints of a manipulator. The freespace is described hierarchically by a two-level representation, and a two-level optimization is used for the path planning. Experiments show the whole system can be realized by an IBM-PC with very small memory. The average computation time for one obstacle is 10 s.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
Related papers
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