Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. - Andrej Orsula; Simon Bøgh; Miguel A. Olivares-Méndez; Carol Martínez (IROS, 2022)

Evaluating Image-Based Visual Servoing Techniques for Robotic Manipulation In Space. - Lina María Amaya-Mejía; Andrej Orsula; Mohamed Ghita; Miguel S. Olivares-Méndez; Carol Martínez (ERF (2), 2024)

Grasp-O: A Generative System for Object-Centric 6-DoF Grasping of Unknown Objects. - Kuldeep R. Barad; Andrej Orsula; Antoine Richard; Jan Dentler; Miguel S. Olivares-Méndez; Carol Martínez (ERF (2), 2024)

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; Simon Gröger; Dong Chen; Haitham Bou-Ammar; Julius Jankowski; Ante Maric; Sylvain Calinon; Andrej Orsula; Miguel S. Olivares-Méndez; Hongyi Zhou; et al. (NeurIPS, 2024)

Immersive Rover Control and Obstacle Detection based on Extended Reality and Artificial Intelligence. - Sofía Coloma; Alexandre Frantz; Dave van der Meer; Ernest Skrzypczyk; Andrej Orsula; Miguel A. Olivares-Méndez (VR Workshops, 2024)

GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models. - Kuldeep R. Barad; Andrej Orsula; Antoine Richard; Jan Dentler; Miguel A. Olivares-Méndez; Carol Martínez (IEEE Access, 2024)

Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space. - Andrej Orsula; Matthieu Geist; Miguel A. Olivares-Méndez; Carol Chamorro-Martínez (CoRR, 2024)

Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning. - Andrej Orsula (CoRR, 2024)