Intelligent decision-making strategy for multiple humanoid robots path planning in complex environments using an Improved Adaptive Artificial Fish Swarm Algorithm
An Improved Adaptive Artificial Fish Swarm Algorithm for planning the navigation paths of humanoid robots in environments containing both static and dynamic obstacles and consistently outperforms conventional path-planning techniques in terms of both path length and navigation time in unknown environments.