Articulated Robot

Articulated robots, characterized by multiple interconnected joints allowing complex movements, are a focus of robotics research aiming to improve their safety, efficiency, and dexterity. Current research emphasizes developing robust control strategies, including hierarchical optimization and stochastic methods, often incorporating machine learning techniques like neural ordinary differential equations for inverse kinematics and Gaussian processes for trajectory planning. These advancements are crucial for enabling safe and reliable operation in unstructured environments, particularly for tasks involving heavy object manipulation and human-robot collaboration, with applications ranging from manufacturing to assistive robotics.