IEEE

High-Accuracy and Energy-Efficient Learning of Inverse Dynamics for High-DoF Robotic Manipulators Using Spiking Neural Networks

Abstract: Inverse dynamics maps the joint space of a robotic system to the torque space, but traditional methods for solving it rely on direct physical modeling of robots, which is difficult or even ...
IEEE

Inverse Design of Frequency Selective Surface Using Physics-Informed Neural Networks

Abstract: This paper uses Physics-Informed Neural Network (PINN) to design Frequency Selective Surface (FSS). PINN integrates physical information into the loss function, so training PINN does not ...