Toward Reinforcement Learning for Selection and Parameterization of Appropriate Prevention Measures for Collaborative Robotic Applications
The deployment of collaborative applications has emerged as a key trend in the manufacturing industry, driven by the synergy of human intelligence and adaptability with robots' endurance, strength, and precision. However, this closer integration of humans with robots heightens the risk of injuries. To prevent these ris...