19 citations · 35 across the 13 of their papers we have counts for
4 papers · 1 filter
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
Puze Liu, Jonas Günster, Niklas Funk +17
Machine learning methods have a groundbreaking impact in many application domains, but their application on real robotic platforms is still limited. Despite the many challenges ass…
Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning
Andrej Orsula
In the context of addressing the Robot Air Hockey Challenge 2023, we investigate the applicability of model-based deep reinforcement learning to acquire a policy capable of autonom…
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
Andrej Orsula, Matthieu Geist, Miguel Olivares-Mendez +1
The ability to autonomously assemble structures is crucial for the development of future space infrastructure. However, the unpredictable conditions of space pose significant chall…
Immersive Rover Control and Obstacle Detection based on Extended Reality and Artificial Intelligence
Sofía Coloma, Alexandre Frantz, Dave van der Meer +3
Lunar exploration has become a key focus, driving scientific and technological advances. Ongoing missions are deploying rovers to the surface of the Moon, targeting the far side an…