| Isaac gym: High performance gpu-based physics simulation for robot learning V Makoviychuk, L Wawrzyniak, Y Guo, M Lu, K Storey, M Macklin, ... arXiv preprint arXiv:2108.10470, 2021 | 645* | 2021 |
| Learning to walk in minutes using massively parallel deep reinforcement learning N Rudin, D Hoeller, P Reist, M Hutter Conference on Robot Learning, 91-100, 2022 | 355 | 2022 |
| Articulated object interaction in unknown scenes with whole-body mobile manipulation M Mittal, D Hoeller, F Farshidian, M Hutter, A Garg 2022 IEEE/RSJ international conference on intelligent robots and systems …, 2022 | 62 | 2022 |
| Learning a contact-adaptive controller for robust, efficient legged locomotion X Da, Z Xie, D Hoeller, B Boots, A Anandkumar, Y Zhu, B Babich, A Garg Conference on Robot Learning, 883-894, 2021 | 61 | 2021 |
| Learning a State Representation and Navigation in Cluttered and Dynamic Environments D Hoeller, L Wellhausen, F Farshidian, M Hutter arXiv preprint arXiv:2103.04351, 2021 | 57 | 2021 |
| Deep value model predictive control D Hoeller, F Farshidian, M Hutter Conference on robot learning, 990-1004, 2020 | 52* | 2020 |
| Locomotion policy guided traversability learning using volumetric representations of complex environments J Frey, D Hoeller, S Khattak, M Hutter 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 47 | 2022 |
| Practical reinforcement learning for mpc: Learning from sparse objectives in under an hour on a real robot N Karnchanachari, MI Valls, D Hoeller, M Hutter Learning for Dynamics and Control, 211-224, 2020 | 35* | 2020 |
| Advanced skills by learning locomotion and local navigation end-to-end N Rudin, D Hoeller, M Bjelonic, M Hutter 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 34 | 2022 |
| Anymal parkour: Learning agile navigation for quadrupedal robots D Hoeller, N Rudin, D Sako, M Hutter Science Robotics 9 (88), eadi7566, 2024 | 32 | 2024 |
| Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments M Mittal, C Yu, Q Yu, J Liu, N Rudin, D Hoeller, JL Yuan, R Singh, Y Guo, ... IEEE Robotics and Automation Letters, 2023 | 27 | 2023 |
| Augmenting ultra-wideband localization with computer vision for accurate flight D Hoeller, A Ledergerber, M Hamer, R D’Andrea Proceedings of the 20th IFAC World Congress, 2017 | 26 | 2017 |
| Neural scene representation for locomotion on structured terrain D Hoeller, N Rudin, C Choy, A Anandkumar, M Hutter IEEE Robotics and Automation Letters 7 (4), 8667-8674, 2022 | 22 | 2022 |
| Joint space control via deep reinforcement learning V Kumar, D Hoeller, B Sundaralingam, J Tremblay, S Birchfield 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 16 | 2021 |
| Learning Agile Locomotion on Risky Terrains C Zhang, N Rudin, D Hoeller, M Hutter arXiv preprint arXiv:2311.10484, 2023 | 4 | 2023 |
| Transformation of joint space coordinates using machine learning VCV Kumar, D Hoeller, B Sundaralingam, J Tremblay, ST Birchfield US Patent App. 17/176,672, 2022 | 4 | 2022 |
| Learning Representations for Robot Navigation and Locomotion D Hoeller ETH Zurich, 2023 | | 2023 |
| Integration of Google Street View into multi-agent mapping S Lynen, D Höller | | |
Nikita RudinRobotic Systems Lab, ETH Zurich在 ethz.ch 的电子邮件经过验证
