Using an Improved Artificial Hummingbird Algorithm for Vision-Guided Optimization And Grasping of Multi-Objective Robots

Abstract AHA (artificial hummingbird algorithm) is a meta-heuristic optimization algorithm that simulates the unique flight and feeding patterns of hummingbirds. By combining the excellent strategy of the artificial hummingbird algorithm with the framework of the multi-objective optimization algorithm, the multi-objective artificial hummingbird algorithm is created, improved, and further enhanced. Therefore, the research on vision-guided optimization and grasping control of multi-objective robots based on an enhanced artificial hummingbird algorithm has significant academic significance and vast potential for application.