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 was a research scientist at Meta(Facebook) AI Research in 2019-2021. I am doing a research scientist internship at Honda Research Institute USA in first half of 2024 and will join Meta AI Research as a Research Scientist intern in second half of 2024.

My research interests generally lie at the intersection of Reinforcement Learning, Robotics and Computer Animation. My current focus is on cross-embodiment whole body control transferring where I aim to leverage the knowledge from human motion to control non-human characters/robots. Feel free to reach out if you are interested in my research.

Google Scholar / Twitter

News

Everything is moving forward

Research

	AAMDM: Accelerated Auto-regressive Motion Diffusion Model Tianyu Li, Zhuhan Qiao, Guanqiao Ren, KangKang Yin, Sehoon Ha CVPR, 2024 Paper / Code Coming Before June
	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 Coming Before June
	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.