Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking

1 code implementation • 7 Jun 2022 • Alessandro Saviolo, Guanrui Li, Giuseppe Loianno

In this paper, we present a novel Physics-Inspired Temporal Convolutional Network (PI-TCN) approach to learning quadrotor's system dynamics purely from robot experience.

Model Predictive Control