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Our previous studies have discussed an effective improved artificial potential field based simultaneous forward search method (an Improved APF-based SIFORS method) in known and static environment. This paper presents the proposed Improved APF-based SIFORS method for autonomous mobile robot path planning in an environment including partially known or unknown, and dynamic complex environments. It can...
An effective Improved Artificial Potential Field-based SImultaneous FORward Search (Improved APF-based SIFORS) method was developed in known environment, which was very similar with the path relaxation method. We firstly redefined potential functions to calculate a valid path, then proposed a SImultaneous FORward Search method (SIFORS method) to shorten the distance of planned path. Such path was...
Path planning field for autonomous mobile robot is an optimization problem that involves computing a collision-free path between initial location and goal location. In this paper, we present an improved artificial potential field based regression search (Improved APF-based RS) method which can obtain a global sub-optimal/optimal path efficiently without local minima and oscillations in complete known...
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