2 papers
cs.RO2026
RAPTOR: A Foundation Policy for Quadrotor Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Humans are remarkably data-efficient when adapting to new unseen conditions, like driving a new car. In contrast, modern robotic control systems, like neural network policies train…
cs.RO2024
Data-Driven System Identification of Quadrotors Subject to Motor Delays
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Recently non-linear control methods like Model Predictive Control (MPC) and Reinforcement Learning (RL) have attracted increased interest in the quadrotor control community. In con…