Fu-Te Xiao

A Review of Robot Adaptive Control Driven by Deep Reinforcement Learning

In complex settings like smart manufacturing and human-robot teamwork, robots face internal disturbances and external uncertainties. Traditional control methods depend on accurate models and manual parameter tuning, leading to complex adjustment, weak dist urbance rejection, and poor generalization. Deep reinforcement...