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Jemin Hwangbo
Jemin Hwangbo
KAIST mechanical engineering
kaist.ac.kr의 이메일 확인됨 - 홈페이지
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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
10352019
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
7812016
Learning quadrupedal locomotion over challenging terrain
J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter
Science robotics 5 (47), eabc5986, 2020
7162020
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
5502017
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
3512022
Per-contact iteration method for solving contact dynamics
J Hwangbo, J Lee, M Hutter
IEEE Robotics and Automation Letters 3 (2), 895-902, 2018
1872018
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
1272016
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
1182016
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
1042017
Robust recovery controller for a quadrupedal robot using deep reinforcement learning
J Lee, J Hwangbo, M Hutter
arXiv preprint arXiv:1901.07517, 2019
752019
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
632022
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
472019
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
472016
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
462014
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
422022
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
332014
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
292018
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
232023
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
202021
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
192021
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