| Learning agile and dynamic motor skills for legged robots J Hwangbo, J Lee, A Dosovitskiy, D Bellicoso, V Tsounis, V Koltun, ... Science Robotics 4 (26), eaau5872, 2019 | 1493 | 2019 |
| Learning quadrupedal locomotion over challenging terrain J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter Science robotics 5 (47), eabc5986, 2020 | 1287 | 2020 |
| Learning robust perceptive locomotion for quadrupedal robots in the wild T Miki, J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter Science robotics 7 (62), eabk2822, 2022 | 774 | 2022 |
| Per-contact iteration method for solving contact dynamics J Hwangbo, J Lee, M Hutter IEEE Robotics and Automation Letters 3 (2), 895-902, 2018 | 273 | 2018 |
| Deepgait: Planning and control of quadrupedal gaits using deep reinforcement learning V Tsounis, M Alge, J Lee, F Farshidian, M Hutter IEEE Robotics and Automation Letters 5 (2), 3699-3706, 2020 | 251 | 2020 |
| Cerberus: Autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the darpa subterranean challenge M Tranzatto, F Mascarich, L Bernreiter, C Godinho, M Camurri, S Khattak, ... arXiv preprint arXiv:2201.07067 3, 2022 | 141 | 2022 |
| Robust recovery controller for a quadrupedal robot using deep reinforcement learning J Lee, J Hwangbo, M Hutter arXiv preprint arXiv:1901.07517, 2019 | 101 | 2019 |
| Advanced skills through multiple adversarial motion priors in reinforcement learning E Vollenweider, M Bjelonic, V Klemm, N Rudin, J Lee, M Hutter 2023 IEEE International Conference on Robotics and Automation (ICRA), 5120-5126, 2023 | 81 | 2023 |
| Combining learning-based locomotion policy with model-based manipulation for legged mobile manipulators Y Ma, F Farshidian, T Miki, J Lee, M Hutter IEEE Robotics and Automation Letters 7 (2), 2377-2384, 2022 | 72 | 2022 |
| Circus anymal: A quadruped learning dexterous manipulation with its limbs F Shi, T Homberger, J Lee, T Miki, M Zhao, F Farshidian, K Okada, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 2316-2323, 2021 | 55 | 2021 |
| Learning-based design and control for quadrupedal robots with parallel-elastic actuators F Bjelonic, J Lee, P Arm, D Sako, D Tateo, J Peters, M Hutter IEEE Robotics and Automation Letters 8 (3), 1611-1618, 2023 | 31 | 2023 |
| Meta reinforcement learning for optimal design of legged robots Á Belmonte-Baeza, J Lee, G Valsecchi, M Hutter IEEE Robotics and Automation Letters 7 (4), 12134-12141, 2022 | 28 | 2022 |
| Learning robust autonomous navigation and locomotion for wheeled-legged robots J Lee, M Bjelonic, A Reske, L Wellhausen, T Miki, M Hutter Science Robotics 9 (89), eadi9641, 2024 | 25 | 2024 |
| A survey of wheeled-legged robots M Bjelonic, V Klemm, J Lee, M Hutter Climbing and walking robots conference, 83-94, 2022 | 23 | 2022 |
| Learning to walk in confined spaces using 3d representation T Miki, J Lee, L Wellhausen, M Hutter 2024 IEEE International Conference on Robotics and Automation (ICRA), 8649-8656, 2024 | 21 | 2024 |
| Evaluation of constrained reinforcement learning algorithms for legged locomotion J Lee, L Schroth, V Klemm, M Bjelonic, A Reske, M Hutter arXiv preprint arXiv:2309.15430, 2023 | 18 | 2023 |
| Learning-based legged locomotion: State of the art and future perspectives S Ha, J Lee, M van de Panne, Z Xie, W Yu, M Khadiv The International Journal of Robotics Research, 02783649241312698, 2024 | 12 | 2024 |
| Seeing through the grass: Semantic pointcloud filter for support surface learning A Li, C Yang, J Frey, J Lee, C Cadena, M Hutter IEEE Robotics and Automation Letters 8 (11), 7687-7694, 2023 | 12 | 2023 |
| Rethinking robustness assessment: Adversarial attacks on learning-based quadrupedal locomotion controllers F Shi, C Zhang, T Miki, J Lee, M Hutter, S Coros arXiv preprint arXiv:2405.12424, 2024 | 8 | 2024 |
| Control of wheeled-legged quadrupeds using deep reinforcement learning J Lee, M Bjelonic, M Hutter Climbing and Walking Robots Conference, 119-127, 2022 | 8 | 2022 |
Marco HutterProfessor of Robotics, ETH ZurichVerified email at ethz.ch
