Evolutionary navigator for a mobile robot
Hoi-Shan Lin, Jing Xiao, Zbigniew Michalewicz
- 发表年份
- 2002
- 引用次数
- 26
摘要
An Evolutionary Navigator (EN) is presented for mobile robot navigation through an environment with unknown obstacles. Based on the concept of genetic algorithms, the EN can search paths of different user-defined levels of near-optimization in the entire, continuous free space using only a simple data structure. It unifies off-line and online planning processes and provides the flexibility to solve the conflict between efficiency and optimality. It also provides high safety measures without requiring complete information about the obstacles sensed.< <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