Georgia Institute of Technology

Liquan Wang

Robot learning & manipulation.

I’m a Ph.D. student in Computer Science at Georgia Tech, advised by Animesh Garg. I study how robots learn to interact with the world.

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Liquan Wang
Ph.D. studentGeorgia Tech

A little background

About me

My research lies at the intersection of robotics, computer vision, and reinforcement learning. I work on robotic manipulation, with experience developing MPM particle systems in PhysX and building with IsaacSim and IsaacGym.

I began my undergraduate studies in physics at Tsinghua University before transferring to the University of Toronto in 2017. I completed my M.Sc. in Computer Science there, specializing in robotics, and joined Georgia Tech in January 2024. I’ve also interned at NVIDIA, working on robotics simulation.

Robot learningManipulationSimulation

Research in action

Selected publications

From learning interactions to building world models.

Along the way

News & milestones

  1. New work on functional tool-use generalization: FuncBridge.

  2. Hierarchical Policy Learning via Spectral Decomposition is at ICML 2026.

  3. Introducing ReSteer and MosaicMem.

  4. VideoManip: learning dexterous manipulation from RGB human videos.

  5. TopoCut at CoRL 2025.

Earlier milestones

  1. “Discovering Robotic Interaction Modes with Discrete Representation Learning” accepted to CoRL 2024.

  2. Started my Ph.D. in Computer Science at Georgia Tech.

  3. Completed my M.Sc. in Computer Science at the University of Toronto.

  4. Completed my internship at NVIDIA, working on robotic simulation in PhysX.

Beyond the lab

Music & chess

Violin

I’ve been playing since the age of eight. Music has been a constant alongside my research.

Chess

I hold the FIDE Master title. Chess has shaped my strategic thinking and discipline.

Let’s connectlwang831@gatech.edu

Original site template by Yunchun Chen.

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