Ang Li
Ang Li

Senior Algorithm Engineer, Simulation

Sudo AI

About Me

I am a Senior Algorithm Engineer in simulation at Sudo AI. My work focuses on developing large-scale simulation platforms for robotics and embodied AI, with an emphasis on realistic rendering systems that help bridge the gap between virtual and physical worlds. I graduated with an M.S. in Computer Science, specialized in Artificial Intelligence, from Stanford University, and a B.S. in Computer Science from UC San Diego, where I was fortunate to be advised by Prof. Hao Su.

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Interests
  • Simulation
  • 3D Computer Vision
  • Embodied AI
Education
  • M.S. Computer Science

    Stanford University

  • B.S. Computer Science

    University of California, San Diego

Publications
Sparp: Fast 3d object reconstruction and pose estimation from sparse views
Given sparse unposed views, we leverage rich priors embedded in multiview diffusion models to predict their poses and reconstruct the 3D shape.
Chao Xu, Ang Li, Linghao Chen, Yulin Liu, Ruoxi Shi, Hao Su, Minghua Liu
ECCV 2024
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation
SAPIEN Realistic depth lowers the sim-to-real gap of simulated depth and real active stereovision depth sensors, by designing a fully physics-grounded pipeline. Perception and RL methods trained in simulation can transfer well to the real world without any fine-tuning. It can also estimate the algorithm performance in the real world, largely reducing human effort of algorithm evaluation.
Xiaoshuai Zhang, Rui Chen, Ang Li, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su
T-RO 2023
Selected Projects