Tianyu Li 黎天宇

Tianyu Li - 黎天宇
Email: bzdlity@gmail.com

I am a CS Phd at Georgia Tech working with Prof.Sehoon Ha. I am working on cross-embodiment skill transfer, aiming to enable robots with arbitrary morphology to learn skills from human demonstrations. My current focus areas are:

Diverse Agile Motion Generation
Whole-body Dynamic Manipulation
Human-Robot and Robot-Robot Interaction

Feel free to reach out if you are interested in my research.

There are a few folks that own the same name, such as Tianyu Li@MIT and Tianyu Li@UPENN, please make sure you contact to correct Tianyu Li.

Google Scholar / Twitter

Experience

Research Scientist Intern, Meta - FAIR E&A (Embodied AI), Jun-Dec 2024
Research Scientist Intern, Honda Research Institute - Cognition Group, Jan-May 2024
Research Scientist, Facebook - FAIR Robotics, Apr 2019 - Dec 2021

Research

	RobotMover: Learning to Move Large Objects by Imitating the Dynamic Chain Tianyu Li, Joanne Truong, Jimmy Yang, Alexander Clegg, Akshara Rai, Sehoon Ha, Xavier Puig Arxiv, 2025 Project Page / Arxiv
	Language Guided Skill Discovery Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha ICLR, 2025 Paper
	AAMDM: Accelerated Auto-regressive Motion Diffusion Model Tianyu Li, Zhuhan Qiao, Guanqiao Ren, KangKang Yin, Sehoon Ha CVPR, 2024 Project Page / Paper / Video
	CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning Tianyu Li, Hyunyoung Jung, Matthew Gombolay, Yong Kwon Cho, Sehoon Ha ICLR, 2024 Project Page / Paper / Video / Code
	ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha SIGGRAPH ASIA, 2023 Project Page / Paper / Video / Gatech Interview
	Learning and Adapting Agile Locomotion Skills by Transferring Experience Laura Smith, J Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine RSS, 2023 Project Page / Arxiv
	ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environment Jeonghwan Kim, Tianyu Li, Sehoon Ha IROS, 2023 Project Page / Arxiv / Video
	FastMimic: Model-based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion Tianyu Li, Jungdam Won, Sehoon Ha, Akshara Rai Robotics, 2023 Paper / Video
	Planning in learned latent action spaces for generalizable legged locomotion Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai RA-L, 2021 Paper / Video
	Learning generalizable locomotion skills with hierarchical reinforcement learning Tianyu Li, Nathan Lambert, Roberto Calandra, Franziska Meier, Akshara Rai ICRA, 2020 Paper / Video
	Learning navigation skills for legged robots with learned robot embeddings Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai IROS, 2020 Paper
	Bayesian optimization in variational latent spaces with dynamic compression Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic CoRL, 2019 Paper
	Using deep reinforcement learning to learn high-level policies on the atrias biped Tianyu Li, Hartmut Geyer, Christopher G Atkeson, Akshara Rai ICRA, 2019 Paper

Modified version of template from this.