Robust Motion

Robust motion control focuses on designing systems that enable robots to execute movements reliably despite uncertainties like sensor noise, unpredictable terrain, and unknown disturbances. Current research emphasizes developing controllers, often incorporating techniques like sliding-mode control, adaptive-gain control, and disturbance observers, to achieve stability and accuracy in diverse environments and robotic platforms, including wheeled, legged, and manipulator robots. These advancements are crucial for improving the autonomy and reliability of robots in various applications, from industrial automation to search and rescue operations.