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.
Papers
April 8, 2024
March 30, 2024
March 29, 2024
March 12, 2024
February 26, 2024
January 29, 2024
December 27, 2023
December 21, 2023
November 14, 2023
November 8, 2023
November 4, 2023
November 2, 2023
September 28, 2023
September 15, 2023
August 29, 2023
August 25, 2023
August 11, 2023
July 28, 2023
May 25, 2023