..., Reinforcement Learning (RL) shows better adaptability to complex and dynamic working environments. However, the training of RL models is often time-consuming, and the determination of well-behaved reward function parameters is challenging. To tackle these issues, an adaptive robot motion planning approach...

... 12 09 2023 12 09 2023 17 10 2023 human–robot collaboration human–robot interaction robot motion planning control and automation production systems optimization robotics and flexible tooling National Science Foundation 10.13039/100000001 1830383...