Abstract: Neural networks (NNs) have emerged as powerful tools for accelerating the design of frequency-selective surfaces (FSSs) due to their fast prediction of electromagnetic (EM) responses.

Abstract: This paper reports on learning a reward map for social navigation in dynamic environments where the robot can reason about its path at any time, given agent trajectories and scene geometry.