Tse-Kai (Kevin) Chan

Hi, I’m Tse-Kai Chan, though most people call me Kevin. I’m a third-year undergrad and Regents Scholar studying Computer Science at UC San Diego. I’m broadly interested in artificial intelligence, robotics, computer graphics, and extended reality.

I’m advised by Professor Hao Su on robotics and reinforcement learning research. I’m also working at Qualcomm Institute advised by Neil Smith on AI x XR applications.

news

Jun 22, 2024	New portfolio webpage!
Sep 19, 2022	Beginning of my undergraduate journey at UC San Diego majoring in Computer Science

selected publications & preprints

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

Stone Tao, Fanbo Xiang, Arth Shukla , and 17 more authors

arXiv preprint arXiv:2410.00425, 2024

Bib PDF Code Website

@article{tao2024maniskill3,
  title = {ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI},
  author = {Tao, Stone and Xiang, Fanbo and Shukla, Arth and Qin, Yuzhe and Hinrichsen, Xander and Yuan, Xiaodi and Bao, Chen and Lin, Xinsong and Liu, Yulin and Chan, Tse-kai and Gao, Yuan and Li, Xuanlin and Mu, Tongzhou and Xiao, Nan and Gurha, Arnav and Huang, Zhiao and Calandra, Roberto and Chen, Rui and Luo, Shan and Su, Hao},
  journal = {arXiv preprint arXiv:2410.00425},
  year = {2024},
}

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency

Stone Tao, Arth Shukla, Tse-kai Chan , and 1 more author

In The Twelfth International Conference on Learning Representations , 2023

Bib PDF Code Website

@inproceedings{tao2023reverse,
  title = {Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency},
  author = {Tao, Stone and Shukla, Arth and Chan, Tse-kai and Su, Hao},
  booktitle = {The Twelfth International Conference on Learning Representations},
  year = {2023},
}