Abstract:
Robot path planning in complex and unknown environment is a challenging task. To deal with this problem, an improved PSO method based on bio-inspired neural network is pr...Show MoreMetadata
Abstract:
Robot path planning in complex and unknown environment is a challenging task. To deal with this problem, an improved PSO method based on bio-inspired neural network is proposed, where a bio-inspired neural network is used to optimize the fitness function of the PSO based method. A dynamic environment modeling method is introduced to realize the path planning in unknown environment. Finally, some simulation experiments on various environments are conducted. The results show the efficiency of the proposed method.
Published in: 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Date of Conference: 29-31 July 2017
Date Added to IEEE Xplore: 25 June 2018
ISBN Information: