Degree of Freedom Robot

Degree-of-freedom (DOF) robots, particularly those with six or more DOFs, are being extensively researched to enhance their dexterity and adaptability in complex tasks. Current research focuses on improving control algorithms, often employing reinforcement learning and optimization techniques like model predictive control and various metaheuristics, to achieve precise end-effector pose tracking and robust manipulation in unstructured environments. These advancements are crucial for expanding the capabilities of robots in manufacturing, logistics, and human-robot collaboration, enabling more agile and versatile robotic systems for a wider range of applications.