3 papers
cs.RO2025
Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
Nico Bohlinger, Jan Peters
We present a single, general locomotion policy trained on a diverse collection of 50 legged robots. By combining an improved embodiment-aware architecture (URMAv2) with a performan…
cs.RO2025
Robust Localization, Mapping, and Navigation for Quadruped Robots
Dyuman Aditya, Junning Huang, Nico Bohlinger +5
Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercia…
cs.RO2023
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup
Nico Bohlinger, Klaus Dorer
This paper presents the new Deep Reinforcement Learning (DRL) library RL-X and its application to the RoboCup Soccer Simulation 3D League and classic DRL benchmarks. RL-X provides…