Deep Reinforcement Learning-Based Trajectory Tracking Framework for 4WS Robots Considering Switch of Steering Modes
The application scenarios of automated robots are undergoing a paradigm shift from structured environments to unstructured, complex settings. In highly constrained settings like factory inspections or disaster rescue, conventional steering systems show clear drawbacks. While the four-wheel independe