Abstract
Navigation is the important task of any mobile robot. In this paper, a modified potential field method for mobile robot navigation has been proposed for unknown environments. Here, the shortest distance between the goal position and robot has been considered to establish a new repulsive potential functions. The developed repulsive potential functions assure that the goal is the global minimum of the total potential field. To demonstrate the efficiency of the proposed method, computer simulations have been carried out through MATLAB software.
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Singh, N.H., Devi, S.S., Thongam, K. (2020). Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_25
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DOI: https://doi.org/10.1007/978-981-15-0035-0_25
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