3 citations · 5 across the 5 of their papers we have counts for
6 papers · 1 filter
HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second
Jonas Eschmann, Giuseppe Loianno
We present HyperDrone, an extremely fast quadrotor simulator focused on high-performance batch rendering that is more than 20x faster than existing state-of-the-art batch quadrotor…
HoLoArm: Deformable Arms for Collision-Tolerant Quadrotor Flight
Quang Ngoc Pham, Jonas Eschmann, Yang Zhou +3
The increasing use of drones in human-centric applications highlights the need for designs that can survive collisions and recover rapidly, minimizing risks to both humans and the…
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…
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…
Learning to Fly in Seconds
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Learning-based methods, particularly Reinforcement Learning (RL), hold great promise for streamlining deployment, enhancing performance, and achieving generalization in the control…
Underactuated Waypoint Trajectory Optimization for Light Painting Photography
Christian Eilers, Jonas Eschmann, Robin Menzenbach +3
Despite their abundance in robotics and nature, underactuated systems remain a challenge for control engineering. Trajectory optimization provides a generally applicable solution,…