A Reinforcement-Learning-Based Hybrid SAC–LQR Framework for UR3e Multi-Waypoint Motion: System Design and Simulation-Based Evaluation
Artificial intelligence is increasingly being investigated for robot motion generation, while conventional methods remain effective for deterministic waypoint tasks. This study evaluates reinforcement learning as a state-conditioned joint-reference-generation layer at runtime, not as a replacement for classical control...