Liqian Ma

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I’m a third-year Robotics Ph.D. student at Georgia Institute of Technology, advised by Prof. Yongxin Chen. I received my Bachelor’s degree from Tsinghua University in 2024. Previously, I interned at Toyota Research Institute.

Research Interests

My research aims to enable robots to generalize across complex, unstructured environments while acting safely and reliably. To this end, I work at the intersection of learning-based and model-based methods. Beyond these technical pursuits, I also see robotics as a philosophical journey: a way to explore fundamental questions about intelligence and our own existence.

Selected Publications

  1. CoRL
    Active Generative Simulation: Meta-Learning What to Simulate for Sim-and-Real Policy Co-Training
    Liqian Ma, Vaibhav Saxena, Utkarsh Aashu Mishra, Shuo Cheng, Yongxin Chen, and Danfei Xu
    In CoRL, 2026
  2. NeurIPS
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    Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
    Shuo Cheng*, Liqian Ma*, Zhenyang Chen, Ajay Mandlekar, Caelan Garrett, and Danfei Xu
    In NeurIPS, 2025
  3. L-CSS
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    Verification of Stochastic Systems Under Signal Temporal Logic Specifications
    Liqian Ma, Zishun Liu, Hongzhe Yu, and Yongxin Chen
    IEEE Control Systems Letters, 2025
  4. CoRL
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    Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
    Tianhao Wei*, Liqian Ma*, Rui Chen, Weiye Zhao, and Changliu Liu
    In CoRL, 2024
  5. ICRA
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    Sim2Real2: Actively Building Explicit Physics Model for Precise Articulated Object Manipulation
    Liqian Ma*, Jiaojiao Meng*, Shuntao Liu, Weihang Chen, Jing Xu, and Rui Chen
    In 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023

Selected Projects