Ziang Liu

Ziang Liu

Graduate Student

Cornell University

I am a PhD student in Computer Science at Cornell University advised by Professor Tapomayukh Bhattacharjee. I am currently interested in enabling robots to better understand and leverage human intention through multimodal sensing for seamless human-robot interaction and assistance in day-to-day lives. During my time at Stanford University as a MS student, I was fortunate to have worked with Professors Jiajun Wu and Yunzhu Li on robot learning. Prior to that, I worked with Professors Gaurav Sukhatme, Stefanos Nikolaidis, and Sven Koenig at the University of Southern California, focusing on motion planning, inverse rendering, and multi-agent pathfinding.

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.

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


  • Robot Learning
  • Robot Manipulation
  • Assitive Robotics
  • Cognitive Science
  • Human-Robot Interaction
  • Deep Reinforcement Learning
  • Computer Vision
  • Motion Planning


  • MS in Computer Science, 2023

    Stanford University

  • BS in Computer Science, 2021

    University of Southern California

  • BS in Applied and Computational Mathematics, 2021

    University of Southern California