Physics-Informed Optimization of a Printed Circuit Board Stator Axial-Flux Motor for Robotic Actuators
This paper proposes a physics-informed neural network (PINN)-based design optimization framework for a compact smart actuator motor in physical artificial intelligence (Physical AI) robotic systems, where artificial intelligence is integrated with sensing, actuation, and physical interaction to perceive and act in the...