research
∙
09/18/2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight
Scene transfer for vision-based mobile robotics applications is a highly...
share
research
∙
09/18/2023
Contrastive Initial State Buffer for Reinforcement Learning
In Reinforcement Learning, the trade-off between exploration and exploit...
research
∙
07/12/2023
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight
Autonomous, agile quadrotor flight raises fundamental challenges for rob...
research
∙
06/16/2023
Actor-Critic Model Predictive Control
Despite its success, Model Predictive Control (MPC) often requires inten...
research
∙
01/04/2023
Autonomous Drone Racing: A Survey
Over the last decade, the use of autonomous drone systems for surveying,...
research
∙
10/26/2022
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing
Autonomous drones can operate in remote and unstructured environments, e...
research
∙
10/20/2022
Weighted Maximum Likelihood for Controller Tuning
Recently, Model Predictive Contouring Control (MPCC) has arisen as the s...
research
∙
10/04/2022
Learning Perception-Aware Agile Flight in Cluttered Environments
Recently, neural control policies have outperformed existing model-based...
research
∙
08/22/2022
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022
The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at...
research
∙
03/28/2022
Learning Minimum-Time Flight in Cluttered Environments
We tackle the problem of minimum-time flight for a quadrotor through a s...
research
∙
12/07/2021
Policy Search for Model Predictive Control with Application to Agile Drone Flight
Policy Search and Model Predictive Control (MPC) are two different parad...
research
∙
03/26/2021
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning
Professional race car drivers can execute extreme overtaking maneuvers. ...
research
∙
03/15/2021
Autonomous Drone Racing with Deep Reinforcement Learning
In many robotic tasks, such as drone racing, the goal is to travel throu...
research
∙
09/01/2020
Flightmare: A Flexible Quadrotor Simulator
Currently available quadrotor simulators have a rigid and highly-special...
research
∙
08/18/2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Autonomous car racing raises fundamental robotics challenges such as pla...
research
∙
07/20/2020