Industrial Robot

Industrial robots are increasingly central to manufacturing, with research focusing on improving their safety, efficiency, and human-robot collaboration. Current efforts concentrate on developing more intuitive and adaptable robot control systems, including human-like kinematic models and real-time adaptive systems that respond to operator physiological signals, often employing machine learning algorithms like Bayesian optimization and deep reinforcement learning for improved performance and safety. These advancements aim to enhance productivity, worker comfort and safety, and the overall integration of robots into diverse industrial settings.