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Joonho Lee
Joonho Lee
Neuromeka
Verified email at neuromeka.com
Title
Cited by
Cited by
Year
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
14072019
Learning quadrupedal locomotion over challenging terrain
J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter
Science robotics 5 (47), eabc5986, 2020
11702020
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
6922022
Per-contact iteration method for solving contact dynamics
J Hwangbo, J Lee, M Hutter
IEEE Robotics and Automation Letters 3 (2), 895-902, 2018
2642018
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
2362020
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
1272022
Robust recovery controller for a quadrupedal robot using deep reinforcement learning
J Lee, J Hwangbo, M Hutter
arXiv preprint arXiv:1901.07517, 2019
942019
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
762023
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
602022
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
532021
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
282023
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
262022
A survey of wheeled-legged robots
M Bjelonic, V Klemm, J Lee, M Hutter
Climbing and Walking Robots Conference, 83-94, 2022
192022
Learning to walk in confined spaces using 3d representation
T Miki, J Lee, L Wellhausen, M Hutter
arXiv preprint arXiv:2403.00187, 2024
152024
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
142024
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
122023
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
102023
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
72024
Control of wheeled-legged quadrupeds using deep reinforcement learning
J Lee, M Bjelonic, M Hutter
Climbing and Walking Robots Conference, 119-127, 2022
62022
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
52024
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Articles 1–20