Rl+ model-based control: Using on-demand optimal control to learn versatile legged locomotion D Kang, J Cheng, M Zamora, F Zargarbashi, S Coros IEEE Robotics and Automation Letters, 2023 | 25 | 2023 |
Animal gaits on quadrupedal robots using motion matching and model-based control D Kang, S Zimmermann, S Coros 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 19* | 2021 |
Tuning legged locomotion controllers via safe bayesian optimization D Widmer, D Kang, B Sukhija, J Hübotter, A Krause, S Coros Conference on Robot Learning, 2444-2464, 2023 | 14 | 2023 |
Control-Aware Design Optimization for Bio-Inspired Quadruped Robots F De Vincenti, D Kang, S Coros 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 11 | 2021 |
Animal motions on legged robots using nonlinear model predictive control D Kang, F De Vincenti, NC Adami, S Coros 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 9 | 2022 |
Nonlinear model predictive control for quadrupedal locomotion using second-order sensitivity analysis D Kang, F De Vincenti, S Coros arXiv preprint arXiv:2207.10465, 2022 | 9 | 2022 |
2-D cooperative localization with omni-directional mobile robots C Kim, H Yang, D Kang, D Lee 2015 12th International Conference on Ubiquitous Robots and Ambient …, 2015 | 4 | 2015 |
RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards F Zargarbashi, J Cheng, D Kang, R Sumner, S Coros arXiv preprint arXiv:2407.11562, 2024 | 1 | 2024 |
Meta-Reinforcement Learning for Universal Quadrupedal Locomotion Control F Di Giuro, F Zargarbashi, J Cheng, D Kang, B Sukhija, S Coros arXiv preprint arXiv:2407.17502, 2024 | | 2024 |
Deep Compliant Control for Legged Robots A Hartmann, D Kang, F Zargarbashi, M Zamora, S Coros 2024 IEEE International Conference on Robotics and Automation (ICRA), 11421 …, 2024 | | 2024 |
Spatio-Temporal Motion Retargeting for Quadruped Robots T Yoon, D Kang, S Kim, M Ahn, S Coros, S Choi arXiv preprint arXiv:2404.11557, 2024 | | 2024 |
End-to-End Collision Avoidance from Depth Input with Memory-based Deep Reinforcement Learning D Kang ETH Zurich, 2019 | | 2019 |
행성 재보급 임무 모사를 위한 캔 위성 Bring-Back 임무 설계 박지현, 임재영, 강동호, 김현태, 문희승, 최홍석, 황동휘, 도원경, ... 한국항공우주학회 학술발표회 초록집, 1516-1518, 2014 | | 2014 |