Research progress on CPG-based movement control technology for bionic robots

Abstract

The Central Pattern Generator (CPG), as a bio-inspired control method, has shown broad application prospects in biomimetic robot motion control due to its advantages of strong real-time performance, simple structure, and lack of dependence on precise motion models. However, CPG control still faces challenges such as strong dependency on parameter tuning and limited adaptability to non-periodic movements. This paper reviews the recent research progress of CPG control strategies in the field of biomimetic robots, elaborating the current research status of CPG in the frontier fields of legged robots, and provides a comprehensive summary. Finally, the effective integration of intelligent algorithms with CPG control is discussed. This review aims to provide a thorough and in-depth perspective for research in the field of biomimetic control and promote the further development of CPG control technology in biomimetic robot applications.