Collision-free path planning for multirobot systems
F. Yegenoglu, H.E. Stephanou
- Year
- 2003
- Citations
- 3
Abstract
The authors discuss a real-time algorithm for planning collision-free navigation or manipulation paths in dynamic, cluttered environments. A Newton-like iteration is used to determine a sequence of knot points that guide the motion of several robots in a velocity vector field toward their targets while avoiding collisions with a set of moving obstacles. Complex targets and obstacles are modeled with elliptical primitives. The velocity field can be updated online, and the path locally replanned in response to environmental changes. The velocity field approach is applied to two main problems: (i) two-robot path planning with curvature constraints, and (ii) coordinated redundant and bilateral manipulation.< <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