Implementation and Comparison between PSO and BAT Algorithms for Path Planning with Unknown Environment
Abstract—The main challenges of robotics are its automation and detection capability. Robotic Path Planning is one of the main problems that deal with computation of a collision-free path for the given robot, along with the given map on which it operates. This paper focuses on Path planning and exploration problem in unknown environment with multi-robot system. Here we have dealt with two traditional nature-inspired algorithms namely Particle Swarm Optimization and Bat Algorithm for movement decision making with unknown environment and last comparing them different features i.e. moves, time, coverage and energy.
Authors: Dr. Mukesh Nandanwar, Anuj Nandanwar
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