Link Manipulator

Link manipulators, robotic arms with multiple segments, are a focus of ongoing research aiming to improve their control, safety, and adaptability. Current research emphasizes robust control strategies, including model-based reinforcement learning and sliding mode control, to address challenges like dynamic coupling, actuator failures, and uncertainties in both the manipulator and its environment. These advancements are crucial for expanding the use of link manipulators in diverse applications, from aerial manipulation and human-robot collaboration to tasks requiring precise control in unstructured settings. The development of safe and efficient control algorithms is key to realizing the full potential of these versatile robotic systems.