An improved leader-follower control for simultaneous positioning and formation in a multirobot cooperative dance

Traditional leader-follower methods have addressed the formation issues in multi-robot cooperative dance, but often neglect synchronization and positioning, leading to suboptimal coordination. To enhance dynamic formations for dance performances, this paper proposes an improved leader-follower algorithm utilizing wireless communication and infrared transceivers for controlling robot formations. Simulation experiments demonstrate that the proposed method achieves smoother velocity changes, faster convergence, and more accurate path planning compared to traditional approaches when multiple robots dance together. The experimental results validate the effectiveness and excellence of the proposed algorithm in solving the synchronization, localization and dynamic formation challenges in multi-robot dancing scenarios.