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 | 1334 | 2019 |
Learning quadrupedal locomotion over challenging terrain J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter Science robotics 5 (47), eabc5986, 2020 | 1072 | 2020 |
Anymal-a highly mobile and dynamic quadrupedal robot M Hutter, C Gehring, D Jud, A Lauber, CD Bellicoso, V Tsounis, ... 2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016 | 951 | 2016 |
Control of a quadrotor with reinforcement learning J Hwangbo, I Sa, R Siegwart, M Hutter IEEE Robotics and Automation Letters 2 (4), 2096-2103, 2017 | 648 | 2017 |
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 | 637 | 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 | 251 | 2018 |
Practice makes perfect: An optimization-based approach to controlling agile motions for a quadruped robot C Gehring, S Coros, M Hutter, CD Bellicoso, H Heijnen, R Diethelm, ... IEEE Robotics & Automation Magazine 23 (1), 34-43, 2016 | 143 | 2016 |
Perception-less terrain adaptation through whole body control and hierarchical optimization CD Bellicoso, C Gehring, J Hwangbo, P Fankhauser, M Hutter 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 136 | 2016 |
Dynamic locomotion and whole-body control for quadrupedal robots CD Bellicoso, F Jenelten, P Fankhauser, C Gehring, J Hwangbo, M Hutter 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 134 | 2017 |
Concurrent training of a control policy and a state estimator for dynamic and robust legged locomotion G Ji, J Mun, H Kim, J Hwangbo IEEE Robotics and Automation Letters 7 (2), 4630-4637, 2022 | 121 | 2022 |
Robust recovery controller for a quadrupedal robot using deep reinforcement learning J Lee, J Hwangbo, M Hutter arXiv preprint arXiv:1901.07517, 2019 | 91 | 2019 |
Learning quadrupedal locomotion on deformable terrain S Choi, G Ji, J Park, H Kim, J Mun, JH Lee, J Hwangbo Science Robotics 8 (74), eade2256, 2023 | 87 | 2023 |
D-grasp: Physically plausible dynamic grasp synthesis for hand-object interactions S Christen, M Kocabas, E Aksan, J Hwangbo, J Song, O Hilliges Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 79 | 2022 |
Dynamic locomotion on slippery ground F Jenelten, J Hwangbo, F Tresoldi, CD Bellicoso, M Hutter IEEE Robotics and Automation Letters 4 (4), 4170-4176, 2019 | 66 | 2019 |
Probabilistic foot contact estimation by fusing information from dynamics and differential/forward kinematics J Hwangbo, CD Bellicoso, P Fankhauser, M Hutter 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 56 | 2016 |
Concurrent optimization of mechanical design and locomotion control of a legged robot KM Digumarti, C Gehring, S Coros, J Hwangbo, R Siegwart Mobile Service Robotics, 315-323, 2014 | 53 | 2014 |
Cable-driven actuation for highly dynamic robotic systems J Hwangbo, V Tsounis, H Kolvenbach, M Hutter 2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018 | 36 | 2018 |
Fusion of optical flow and inertial measurements for robust egomotion estimation M Bloesch, S Omari, P Fankhauser, H Sommer, C Gehring, J Hwangbo, ... 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 36 | 2014 |
Force control of a hydraulic actuator with a neural network inverse model SW Kim, B Cho, S Shin, JH Oh, J Hwangbo, HW Park IEEE Robotics and Automation Letters 6 (2), 2814-2821, 2021 | 32 | 2021 |
Not only rewards but also constraints: Applications on legged robot locomotion Y Kim, H Oh, J Lee, J Choi, G Ji, M Jung, D Youm, J Hwangbo IEEE Transactions on Robotics, 2024 | 25 | 2024 |