DocumentCode :
2160924
Title :
New potential functions for multi robot path planning : SWARM or SPREAD
Author :
Kim, Sung-hwan ; Lee, Gyungtae ; Hong, Inpyo ; Kim, Young- Joo ; Kim, Daeyoung
Author_Institution :
Dept. of Inf. & Commun. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume :
2
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
557
Lastpage :
561
Abstract :
Artificial Potential Field (APF) is widely used for an autonomous robot path planning and navigation because of light complexity and elegance of results. Although it is useful in single robot path planning, appropriate algorithm for multi-robot path planning has not been proposed. Existing APFs which can apply to multi-robot only regard robots as obstacles even if these robots are not obstacles, or focus on SWARM formation and moving. This paper proposes a multi-robot support APF by defining new potential functions: SWARM or SPREAD. This APF uses priority selection scheme between multi robots and calculates a new potential functions based on priority, and then solves local minimum problem in multi-robot APF which is a traditional problem of APF. Therefore this paper enables distributed path planning in multi-robot with real-time using suggested APF. All of these works are verified its effectiveness with simulation using Player/Stage simulator.
Keywords :
mobile robots; multi-robot systems; path planning; Player-Stage simulator; SPREAD; SWARM; artificial potential field; autonomous robot path planning; local minimum problem; multirobot path planning; priority selection scheme; Artificial intelligence; Computer science; Intelligent robots; Navigation; Network topology; Orbital robotics; Path planning; Power generation; Robot control; Robot kinematics; Aritificial potential field; multi-robot path planning; potential function; priority selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451658
Filename :
5451658
Link To Document :
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