Autonomous mobile robot navigation algorithm for planning collision-free path designed in dynamic environments
Faten Cherni, Yassine Boutereaa, Chokri Rekik, Nabil Derbel
- 发表年份
- 2015
- 引用次数
- 7
摘要
An autonomous mobile robot, which is able to achieve not only collision-free but also reaching the goal, is a system which possesses a sufficient intelligence to ensure global and local navigation in new environment with static or dynamic obstacles. In an unknown environment, the difficult issue in mobile robot navigation or path planning is to find the path from the starting point to the target and at the same time avoid collisions. In this paper, we present a developed algorithm for solving the problem of robot path planning in dynamic environment. By the proposed strategy, the mobile robot can travel smoothly to the designed target without collision. Simulation results are introduced to show performances and the effectiveness of this approach.
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