Liquan Wang

Georgia Institute of Technology

Email: lwang831 at gatech dot edu

CV   |   GitHub
Unsplashed background img 1

I am looking for robotics internship opportunities for PhD students starting in 2025. Please see my CV and contact me if you know of any opportunities that may be a good fit!

Bio

I am a Ph.D. student in Computer Science at Georgia Institute of Technology, advised by Professor Animesh Garg. My research interests lie in Robotics, Computer Vision, and Reinforcement Learning. I have extensive experience in robotic manipulation tasks, including developing MPM particle systems in PhysX and working with cutting-edge technologies like IsaacSim and IsaacGym.

Prior to joining Georgia Tech, I transferred to the University of Toronto in 2017 after beginning my undergraduate studies at Tsinghua University in Beijing, where I studied physics. I later completed my Master of Science in Computer Science at the University of Toronto, specializing in robotics.

In addition to my academic pursuits, I have completed internships at Nvidia where I worked on robotics simulation, and have published several papers in leading robotics and AI conferences.


News
  • 09 / 2024: Paper titled "Discovering Robotic Interaction Modes with Discrete Representation Learning" accepted to CoRL 2024.
  • 01 / 2024: Started my Ph.D. in Computer Science at Georgia Institute of Technology.
  • 12 / 2023: Graduated with a Master of Science in Computer Science from the University of Toronto.
  • 01 / 2023: Completed internship at Nvidia, working on robotic simulations in PhysX.
  • 08 / 2021: Published a paper on Self-Supervised Learning of Action Affordances at ICRA 2023.

Selected Publications
Discovering Robotic Interaction Modes with Discrete Representation Learning
Liquan Wang, Ankit Goyal, Haoping Xu, Animesh Garg
Conference on Robot Learning (CoRL), 2024
Paper (coming soon) / Project page
Self-Supervised Learning of Action Affordances as Interaction Modes
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
International Conference on Robotics and Automation (ICRA), 2023
Paper / Project page
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands
Dylan Turpin, Liquan Wang, Eric Heiden, Yunchun Chen, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg
Oral Presentation at European Conference on Computer Vision (ECCV), 2022
Paper / Project page
Self-Supervised Discovery of Contact-Aware Tool Affordances
Dylan Turpin, Liquan Wang, Stavros Tsogkas, Sven Dickinson, Animesh Garg
Robotics: Systems and Science (RSS), 2021
Paper / Project page

Hobbies

In addition to my research, I have a strong passion for music and chess. I have been playing the violin since the age of 8, and I am also an accomplished chess player, holding the title of FIDE Master in China. Chess and music have been instrumental in shaping my strategic thinking and discipline, both of which complement my academic pursuits.