Adaptive Control in Bionic Quadruped Robots

This review paper delves into recent advancements in adaptive control technologies for bionic quadruped robots, emphasizing their growing importance in the field of robotics. It highlights several key research contributions, including innovative approaches to gait planning, kinematic modeling, and the development of control systems aimed at enhancing stability and adaptability under varying load conditions. Notable works by Fu Zhang et al. and Mingying Li et al. showcase the application of the Denavit-Hartenberg method and adaptive fuzzy PID control, which significantly improve locomotion accuracy and efficiency. Additionally, studies by Sai Gu et al. and Bingchen Jin et al. focus on real-time identification of the Center of Mass and adaptability to different loads using cutting-edge algorithms. The review also discusses the emergence of efficient closed-loop controllers, such as those implemented in the SQuRo robot, which demonstrate robust performance in complex environments. Concluding the paper are insights into the future directions of adaptive control technologies, emphasizing their potential to enhance robotic performance across diverse terrains and scenarios, paving the way for more versatile applications in fields like search and rescue, agriculture, and environmental monitoring.