John  Z.  Zhang 

profile_pic_2025.jpg

70 Vassar St,

Cambridge, MA, 02142

I am a Robotics Ph.D. student at MIT AeroAstro advised by Zac Manchester.

Before moving to MIT, I was a Ph.D. candidate in the Robotics Institute at Carnegie Mellon University and a research intern at the Robotics and AI Institute. I received a Bachelor’s degree in Mechanical Engineering from Georgia Tech and a Master’s degree in Robotics from Carnegie Mellon University.

research

I’m interested in making robots interact with the world with agility, dexterity, and reliability. My research focuses on computational methods by leveraging insights from numerical optimization and machine learning.

email / cv / github / google scholar / linkedin / x

selected publications

  1. sumo.gif
    Sumo: Dynamic and Generalizable Whole-Body Loco-Manipulation
    John Z. Zhang, Maks Sorokin, Jan Brüdigam, Brandon Hung, Stephen Phillips, Dmitry Yershov, Farzad Niroui, Tong Zhao, Leonor Fermoselle, Xinghao Zhu, Chao Cao, Duy Ta, Tao Pang, Jiuguang Wang, Preston Culbertson, Zachary Manchester, and Simon Le Cléac’h
    IEEE Transactions on Robot Learning, 2026
    Conditionally accepted
  2. quadruped_handstand.gif
    Whole-Body Model-Predictive Control of Legged Robots with MuJoCo
    John Z. Zhang, Taylor A. Howell, Zeji Yi, Chaoyi Pan, Guanya Shi, Guannan Qu, Tom Erez, Yuval Tassa, and Zachary Manchester
    In IEEE International Conference on Robotics and Automation, 2026
  3. push_recovery_cropped.gif
    ReLU-QP: A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control
    In IEEE International Conference on Robotics and Automation (*equal contribution), 2024
  4. dog_reach_compiled.gif
    SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos
    John Z. Zhang, Shuo Yang, Gengshan Yang, Arun BishopSwaminathan GurumurthyDeva Ramanan, and Zachary Manchester
    In IEEE Robotics and Automation Letters, 2023