Charlie C. Li

32-G934

32 Vassar Street

Cambridge, MA 02139

I am Charlie (Chao) Li, a PhD student in Computer Science at Massachusetts Institute of Technology (MIT) advised by Dina Katabi. My research interests include developing Artificial Intelligence Systems for Healthcare, Wireless Communications, and Computer Vision.

I obtained my Bachelors in Electrical and Computer Engineering from Carnegie Mellon University, where I graduated top of my department with the prestigious E.M. Williams Award, where I was advised by Swarun Kumar and Nancy Pollard. I also had the chance to serve as the President of Eta Kappa Nu, Sigma Chapter, the Electrical Engineering Honor Chapter of CMU.

Outside of research, I love to hike and explore nature. I also happen to be a huge sitcom nerd, and hold the (controversial) opinion that Community is the best sitcom ever made.

Selected Publications

SoftTouch: A Sensor-Placement Framework for Soft Robotic Hands

Chao Li, and Nancy Pollard

In 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids), 2022

Bib HTML

@inproceedings{10000138,
  author = {Li, Chao and Pollard, Nancy},
  booktitle = {2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)},
  title = {SoftTouch: A Sensor-Placement Framework for Soft Robotic Hands},
  year = {2022},
  volume = {},
  number = {},
  pages = {504-511},
  doi = {10.1109/Humanoids53995.2022.10000138},
  dimensions = {true},
}

Exploring mmWave Radar and Camera Fusion for High-Resolution and Long-Range Depth Imaging

Akarsh Prabhakara, Diana Zhang, Chao Li, and 4 more authors

In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

Bib HTML

@inproceedings{9982080,
  author = {Prabhakara, Akarsh and Zhang, Diana and Li, Chao and Munir, Sirajum and Sankaranarayanan, Aswin C. and Rowe, Anthony and Kumar, Swarun},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title = {Exploring mmWave Radar and Camera Fusion for High-Resolution and Long-Range Depth Imaging},
  year = {2022},
  volume = {},
  number = {},
  pages = {3995-4002},
  doi = {10.1109/iros47612.2022.9982080},
  dimensions = {true},
}