AN Efficient Improved Artificial Potential Field Method for Robot Path Planning
Zhang Qinglon · Jiangnan daxue xuebao. Ziran kexue ban · 2014
For an improved artificial potential field based regression search method,we obtain a global sub-optimal / optimal path efficiently without local minima and oscillations in complete known environment information. Otential functions is redefined to eliminate non-reachable and local minima problems,and virtual local target is utilized for a robot to escape oscillations and develop a regression search method to optimize the planned path. The simulations prove that the proposed improved APF-based regression search method is feasible and efficient.