Artificial potential fields for the obstacles avoidance system of an AUV using a mechanical scanning sonar
Franco J. Solari, Alejandro Rozenfeld, Sebastián A. Villar, Gerardo G. Acosta
- 发表年份
- 2016
- 引用次数
- 32
摘要
Obstacle avoidance is one of the most relevant problems in mobile robotics field. The solution of this problem allows successful trajectory generation, detecting and avoiding those regions where a path is unable due to the presence of obstacles. The purpose of this paper is the application of the potential fields method for obstacles avoidance using a mechanical scanning sonar device for an autonomous underwater vehicle. Particular sonar's features are used to instantiate the proposed method. Different tests in simulated environment provided preliminary results that have proved its feasibility for the future implementation of this method in real environments, within the obstacle avoidance system of an autonomous underwater vehicle (AUV).
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