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 | 1279 | 2019 |
Learning quadrupedal locomotion over challenging terrain J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter Science robotics 5 (47), eabc5986, 2020 | 1006 | 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 | 580 | 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 | 243 | 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 | 214 | 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 | 118 | 2022 |
Robust recovery controller for a quadrupedal robot using deep reinforcement learning J Lee, J Hwangbo, M Hutter arXiv preprint arXiv:1901.07517, 2019 | 90 | 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 | 67 | 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 | 51 | 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 | 43 | 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 | 24 | 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 | 24 | 2022 |
A survey of wheeled-legged robots M Bjelonic, V Klemm, J Lee, M Hutter Climbing and Walking Robots Conference, 83-94, 2022 | 15 | 2022 |
Learning to walk in confined spaces using 3d representation T Miki, J Lee, L Wellhausen, M Hutter arXiv preprint arXiv:2403.00187, 2024 | 9 | 2024 |
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 | 6 | 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, 2023 | 6 | 2023 |
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 | 6 | 2023 |
Control of wheeled-legged quadrupeds using deep reinforcement learning J Lee, M Bjelonic, M Hutter Climbing and Walking Robots Conference, 119-127, 2022 | 5 | 2022 |
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 arXiv preprint arXiv:2406.01152, 2024 | 1 | 2024 |
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 | 1 | 2024 |