Ziang Liu

Ziang Liu

Graduate Student

Stanford University

I am a MS student in Computer Science at Stanford University advised by Professor Jiajun Wu. During my undergraduate study, I was fortunate to have worked with Professors Gaurav Sukhatme, Stefanos Nikolaidis, and Sven Koenig. My previous research work focuses on motion planning for robot arm and multi-agent systems, and robot perception with LiDAR.

My goal is to build robots that perceive, understand, reason, and interact in the physical world to better assist people with day-to-day tasks, leveraing inspiration from human cognition. Currently I am actively exploring research directions in robot learning and computer vision.

I am honored to be nominated by Stanford CS and appointed as a Siebel Scholar for 2023!

I am actively applying for a PhD position for Fall 2023.

Interests

  • Robot Learning
  • Robot Manipulation
  • Deep Reinforcement Learning
  • Human-Robot Interaction
  • Computer Vision
  • Cognitive Science
  • Motion Planning
  • Legged Locomotion

Education

  • MS in Computer Science, 2023 (Expected)

    Stanford University

  • BS in Computer Science, 2021

    University of Southern California

  • BS in Applied and Computational Mathematics, 2021

    University of Southern California

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