Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/75096
Title: Virtual obstacle concept for local-minimum-recovery in potential-field based navigation
Authors: Chengqing, Liu
Ang Jr., Marcelo H. 
Krishnan, Hariharan 
Yong, Lim Ser 
Issue Date: 2000
Source: Chengqing, Liu,Ang Jr., Marcelo H.,Krishnan, Hariharan,Yong, Lim Ser (2000). Virtual obstacle concept for local-minimum-recovery in potential-field based navigation. Proceedings - IEEE International Conference on Robotics and Automation 2 : 983-988. ScholarBank@NUS Repository.
Abstract: We present a navigation algorithm, which integrates virtual obstacle concept with a potential-field-based method to maneuver cylindrical mobile robots in unknown or unstructured environments. This study focuses on the real-time feature of the navigation algorithm for fast moving mobile robots. We mainly consider the potential-field method in conjunction with virtual obstacle concept as the basis of our navigation algorithm. Simulation and experiments of our algorithm shows good performance and ability to overcome the local minimum problem associated with potential field methods.
Source Title: Proceedings - IEEE International Conference on Robotics and Automation
URI: http://scholarbank.nus.edu.sg/handle/10635/75096
ISSN: 10504729
Appears in Collections:Staff Publications

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