HIGHLIGHTS
SUMMARY
When compared to fixed morphology robots, these reconfigurable robots provide better area coverage. It will be useful to look for a method to find an optimal shape of a reconfigurable robot that can be used during, say, a cleaning or maintenance task according to the given map of the deployment area. Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated annealing (SA), Harmony search (HS), Ant Colony Optimization (ACO), and Grey Wolf Optimizer (GWO) are extensively used metaheuristics algorithms in mobile robots and UAVs for path planning and area coverage applications. To fairly compare the . . .
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