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 | 549 | 2019 |
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 | 494 | 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 | 359 | 2017 |
Learning quadrupedal locomotion over challenging terrain J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter Science robotics 5 (47), eabc5986, 2020 | 222 | 2020 |
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 | 98 | 2016 |
Per-contact iteration method for solving contact dynamics J Hwangbo, J Lee, M Hutter IEEE Robotics and Automation Letters 3 (2), 895-902, 2018 | 90 | 2018 |
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 | 75 | 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 | 55 | 2017 |
Robust recovery controller for a quadrupedal robot using deep reinforcement learning J Lee, J Hwangbo, M Hutter arXiv preprint arXiv:1901.07517, 2019 | 36 | 2019 |
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 | 34 | 2014 |
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 | 30 | 2014 |
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 | 27 | 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 | 27 | 2016 |
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 | 23 | 2022 |
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 | 19 | 2018 |
ROCK∗—Efficient black-box optimization for policy learning J Hwangbo, C Gehring, H Sommer, R Siegwart, J Buchli 2014 IEEE-RAS International Conference on Humanoid Robots, 535-540, 2014 | 18 | 2014 |
Direct state-to-action mapping for high DOF robots using ELM J Hwangbo, C Gehring, D Bellicoso, P Fankhauser, R Siegwart, M Hutter 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 7 | 2015 |
Legged Robot State Estimation With Dynamic Contact Event Information JH Kim, S Hong, G Ji, S Jeon, J Hwangbo, JH Oh, HW Park IEEE Robotics and Automation Letters 6 (4), 6733-6740, 2021 | 5 | 2021 |
Policy learning with an efficient black-box optimization algorithm J Hwangbo, C Gehring, H Sommer, R Siegwart, J Buchli International journal of humanoid robotics 12 (03), 1550029, 2015 | 5 | 2015 |
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 | 4 | 2021 |