Optimal path planning of mobile robot using the hybrid cuckoo–bat algorithm in assorted environment

Purpose In this paper, an optimal mobile robot path planning is obtained by the hybrid algorithm, which is developed by two nature inspired meta-heuristic algorithms namely Cuckoo-Search and Bat Algorithm in an unknown or partially known environment. The cuckoo-search algorithm is based on the parasitic behavior of the cuckoo, and the Bat Algorithm is based on the Echolocation behavior of the bats. Design/methodology/approach The developed algorithm starts with the sensing of environment and sense is there any obstacles are not in the workspace using the ultrasonic sensor. If there are any obstacles in the path, apply the developed algorithm to find the optimal path otherwise reach the target point directly through diagonal distance. Findings The developed algorithm is implemented in MATLAB for the simulation to test the efficiency of the algorithm for different environments. The same path is considered to implement the experiment in the real-world environment. ARDUINO micro controller along with the ultr...