| Genesis: A universal and generative physics engine for robotics and beyond G Authors URL https://github. com/Genesis-Embodied-AI/Genesis, 2024 | 75* | 2024 |
| Learning and adapting agile locomotion skills by transferring experience L Smith, JC Kew, T Li, L Luu, XB Peng, S Ha, J Tan, S Levine Robotics: Science and Systems 2023, 2023 | 71 | 2023 |
| Using deep reinforcement learning to learn high-level policies on the atrias biped T Li, H Geyer, CG Atkeson, A Rai 2019 International Conference on Robotics and Automation (ICRA), 263-269, 2019 | 69 | 2019 |
| Learning generalizable locomotion skills with hierarchical reinforcement learning T Li, N Lambert, R Calandra, F Meier, A Rai 2020 IEEE International Conference on Robotics and Automation (ICRA), 413-419, 2020 | 61 | 2020 |
| Bayesian optimization in variational latent spaces with dynamic compression R Antonova, A Rai, T Li, D Kragic Conference on Robot Learning, 456-465, 2020 | 36 | 2020 |
| Planning in learned latent action spaces for generalizable legged locomotion T Li, R Calandra, D Pathak, Y Tian, F Meier, A Rai IEEE Robotics and Automation Letters 6 (2), 2682-2689, 2021 | 33 | 2021 |
| Learning navigation skills for legged robots with learned robot embeddings J Truong, D Yarats, T Li, F Meier, S Chernova, D Batra, A Rai 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 29* | 2021 |
| Ace: Adversarial correspondence embedding for cross morphology motion retargeting from human to nonhuman characters T Li, J Won, A Clegg, J Kim, A Rai, S Ha SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023 | 26 | 2023 |
| Fastmimic: Model-based motion imitation for agile, diverse and generalizable quadrupedal locomotion T Li, J Won, J Cho, S Ha, A Rai Robotics 12 (3), 90, 2023 | 25 | 2023 |
| Language guided skill discovery S Rho, L Smith, T Li, S Levine, XB Peng, S Ha ICLR 2025, 2024 | 18 | 2024 |
| Crossloco: Human motion driven control of legged robots via guided unsupervised reinforcement learning T Li, H Jung, M Gombolay, YK Cho, S Ha ICLR 2024, 2023 | 13 | 2023 |
| AAMDM: Accelerated Auto-regressive Motion Diffusion Model T Li, C Qiao, G Ren, KK Yin, S Ha CVPR 2024, 2023 | 10 | 2023 |
| MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning Y Feng, Z Dou, LH Chen, Y Liu, T Li, J Wang, Z Cao, W Wang, T Komura, ... arXiv preprint arXiv:2411.16964, 2024 | 5 | 2024 |
| Armp: autoregressive motion planning for quadruped locomotion and navigation in complex indoor environments J Kim, T Li, S Ha 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 5 | 2023 |
| RobotMover: Learning to Move Large Objects From Human Demonstrations T Li, J Truong, J Yang, A Clegg, A Rai, S Ha, X Puig arXiv preprint arXiv:2502.05271, 2025 | 2* | 2025 |
| Learning physical interaction skills from human demonstrations T Li, H Ma, S Ha, K Lee arXiv preprint arXiv:2507.20445, 2025 | 1 | 2025 |
| EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation L Zhang, Z Li, T Li, Z Cao, R Xu, X Long, W Wang, J Wang, Y Liu, W Wang, ... arXiv preprint arXiv:2512.22808, 2025 | | 2025 |
| Switch-JustDance: Benchmarking Whole Body Motion Tracking Policies Using a Commercial Console Game J Kim, W Kim, Y Lu, J Cheng, F Zargarbashi, Z Zeng, Z Qi, Z Dou, ... arXiv preprint arXiv:2511.17925, 2025 | | 2025 |
| MoReFlow: Motion Retargeting Learning through Unsupervised Flow Matching W Kim, T Li, S Ha arXiv preprint arXiv:2509.25600, 2025 | | 2025 |
| Switch4EAI: Leveraging Console Game Platform for Benchmarking Robotic Athletics T Li, J Kim, W Kim, D Baek, S Rho, S Ha CoRL Open-Source Hardware in the Era of Robot Learning Workshop, 2025 | | 2025 |
Sehoon HaGeorgia Institute of TechnologyVerified email at gatech.edu
