Car-like robots and moving obstacles
Thierry Fraichard, A. Scheuer
- 发表年份
- 2002
- 引用次数
- 31
摘要
This paper addresses motion planning for a car-like robot moving in a changing planar workspace, i.e. with moving obstacles. First, this motion planning problem is formulated in the state-time space framework. The state-time space of a robot is its state space plus the time dimension. In this framework part of the constraints at hand are translated into static forbidden regions of state-time space, and a trajectory maps to a state-time curve which must respect the remaining constraints. Then an approximate solution to the problem is presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991