Hybrid path planning of multi-robots for path deviation prevention
- Title
- Hybrid path planning of multi-robots for path deviation prevention
- Alternative Title
- 군집로봇의 경로이탈 방지를 위한 하이브리드 경로계획 기법
- Author(s)
- Wee, Sung Gil ; Kim, Yoon Gu ; Choi, Jung-Won ; Lee, Suk-Gyu
- Issued Date
- 2013
- Type
- Article
- Article Type
- Article
- Subject
- A ; Algorithms ; Avoid Obstacles ; Collision Avoidance ; Data Communication Equipment ; Hybrid Path Planning ; Industrial Robots ; Motion Planning ; Multipurpose Robots ; Optimal Paths ; Path-Planning ; Potential Field Methods ; Repulsive Function ; Swarm Robots ; UKF (Unscented Kalman Filter)
- ISSN
- 1976-5622
- Abstract
- This paper suggests a hybrid path planning method of multi-robots, where a path deviation prevention for maintaining a specific formation is implemented by using repulsive function, A* algorithm and UKF (Unscented Kalman Filter). The repulsive function in potential field method is used to avoid collision among robots and obstacles. A* algorithm helps the robots to find optimal path. In addition, error estimation based on UKF guarantees small path deviation of each robot during navigation. The simulation results show that the swarm robots with designated formation successfully avoid obstacles and return to the assigned formation effectively.© ICROS 2013.
- Publisher
- Institute of Control, Robotics and Systems
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- Appears in Collections:
- Convergence Research Center for Wellness 1. Journal Articles
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