Zixuan Wu
Zixuan Wu

Ph.D. Candidate

Georgia Institute of Technology (GT)

About Me

Zixuan Wu is a Ph.D. candidate in school of Electrical and Computer Engineering (GT) supervised by Dr. Matthew Gombolay. His research interests are robot navigation and motion planning, reinforcement and imitation learning, and multi-agent systems.

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Interests
  • Robot Navigation
  • Motion Planning
  • Generative Model
  • Multi-agent Systems
Education

  • Ph.D., Electrical and Computer Engineering

    Georgia Institute of Technology

  • M.S., Electrical and Computer Engineering

    Georgia Institute of Technology

  • BSc

    Harbin Institute of Technology

🔬 My Research

I’m a Ph.D. candidate at Electrical and Computer Engineering (ECE) in Georgia Institute of Technology (GT). Now I am doing my research about robotics and machine learning in CORE robotics lab supervised by Prof. Matthew Gombolay. The main research topic is to help the robot understand the environments, be aware of their relations to other agents and make decisions accordingly. Now I am using the self-built mobile robot platform Experimental Sport Tennis Wheelchair Robot (ESTHER) to conduct my research.

This website is mainly used to document my research experiences and partially used to show the slices of my life. Feel free to contact me if you would like to discuss research ideas or make friends.

Featured Publications
Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning
Diffusion-reinforcement learning hierarchical motion planning in adversarial multi-agent games
Hijacking Robot Teams Through Adversarial Communication
Image-based trajectory tracking through unknown environments without absolute positioning
Recent Publications
Kin Man Lee , Sean Ye , Qingyu Xiao , Zixuan Wu , Zulfiqar Zaidi , David B D'Ambrosio , Pannag R Sanketi , Matthew Gombolay (2025). Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. IEEE International Conference on Robotics and Automation (ICRA).
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Qingyu Xiao , Zixuan Wu , Matthew Gombolay (2025). Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations. IEEE International Conference on Robotics and Automation (ICRA).
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Zixuan Wu† , Zulfiqar Zaidi† , Adithya Patil† , Qingyu Xiao , Matthew Gombolay († Equal Contribution) (2025). Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning. IEEE International Conference on Robotics and Automation (ICRA).
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Zixuan Wu , Sean Ye , Manisha Natarajan , Matthew C Gombolay (2024). Diffusion-reinforcement learning hierarchical motion planning in adversarial multi-agent games. arXiv preprint arXiv:2403.10794.
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Byeolyi Han , Minwoo Cho , Letian Chen , Rohan Paleja , Zixuan Wu , Sean Ye , Esmaeil Seraj , David Sidoti , Matthew Gombolay (2024). Learning Multi-Agent Coordination for Replenishment at Sea. IEEE Robotics and Automation Letters.
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Recent & Upcoming Presentations
ICRA 2025 Paper Presentation
MRS 2023 Oral Talk
CoRL 2023 Oral Talk
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