Litian Liang
梁力天
l6liang <at> ucsd <dot> edu
Research Scientist
Ant Group
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About me
I am a Research Scientist at Ant Group.
I joined Sunday Robotics in 2024 as Employee #1. I built the foundation of Sunday's robot control and machine learning stack.
I was a research assistant in REAL lab at Stanford in 2024, advised by Prof. Shuran Song. I worked on 3D vision for Embodied AI.
I received my M.S. in Computer Science from UC San Diego in 2023.
I was a student researcher in Prof. Hao Su's lab in 2023. I worked on computer vision and embodied AI with 3D vision.
I received my B.S. in Computer Science from UC Irvine in 2022, where I worked in Intelligent Dynamics Lab with Prof. Roy Fox and Prof. Alexander Ihler on Deep Reinforcement Learning.
Research goals
The goal of my research is to enable AI to perform tedious or dangerous tasks safer and more efficient than any human ever existed in this world can do. Then we will be free to do more interesting things like art, music, math, and science.
Research focus
Robotics
Deep Learning
Research
Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback
Litian Liang*, James (Jingxi) Xu*, Xinda Qi, Yujun Cai, Houzhu Ding, Luqi Wang, Zhixin Sun, Jyh-Herng Chow, Ming Yang, Mark Cutkosky
Preprint
Work done in Inclusion AI lab @ Ant Group
One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies
Chuer Pan , Litian Liang , Dominik Bauer, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Shuran Song
CoRL 2025
Work done in REAL lab @ Stanford
When Should We Prefer State-to-Visual DAgger Over Visual RL?
Tongzhou Mu, Zhaoyang Li, Stanisław Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su
AAAI 2025
Work done in Hao Su Lab @ UC San Diego
Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset
Litian Liang, Liuyu Bian, Caiwei Xiao, Jialin Zhang, Linghao Chen, Isabella Liu, Fanbo Xiang, Zhiao Huang, Hao Su
Preprint
Paper / Video / Teleoperation
Work done in Hao Su Lab @ UC San Diego
Reparameterized Policy Learning for Multimodal Trajectory Optimization
Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su
ICML 2023 Oral Presentation
Paper / Code / Project Page / Video
Work done in Hao Su Lab @ UC San Diego
Reducing Variance in TD Value Estimation via Ensemble of Deep Networks
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
ICML 2022
Work done in Intelligent Dynamics Lab @ UC Irvine
Service
Reviewer: Association for the Advancement of Artificial Intelligence (AAAI 2026)
Reviewer: IEEE / CVF Computer Vision and Pattern Recognition (CVPR 2026)
Reviewer: IEEE / CVF International Conference on Computer Vision (ICCV 2025)
Reviewer: IEEE / CVF Computer Vision and Pattern Recognition (CVPR 2025)
Reviewer: IEEE / CVF Computer Vision and Pattern Recognition (CVPR 2024)
Awards
Chancellor's Award for Excellence in Undergraduate Research
Highest honor for undergraduate research dedication and accomplishments.
Misc
I love watching movies. My favorite movie list:
Interstellar, Inception, The Imitation Game, Oppenheimer, The Matrix series.
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