John  Z.  Zhang 

profile_pic_2025.jpg

70 Vassar St,

Cambridge, MA, 02142

I am a robotics Ph.D. candidate at MIT AeroAstro advised by Zac Manchester in the MIT REx Lab. I’m broadly interested in modeling and decision-making for robotic systems through the lens of numerical optimization and machine learning.

Before moving to MIT, I was a Ph.D. candidate in the Robotics Instutite at CMU and a research intern at the RAI Institute. Previously, I received a B.S. in Mechanical Engineering from Gerogia Tech and an M.S. in Robotics from CMU.

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

selected publications

  1. trajectory_bundle_method.png
    The Trajectory Bundle Method: Unifying Sequential-Convex Programming and Sampling-Based Trajectory Optimization
    Kevin Tracy, John Z. Zhang, Jon Arrizabalaga, Stefan Schaal, Yuval Tassa, Tom Erez, and Zachary Manchester
    2025
  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
    2025
  3. mppi.png
    Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control
    Juan Alvarez-Padilla, John Z. Zhang, Sofia Kwok, John M. Dolan, and Zachary Manchester
    In IEEE International Conference on Robotics and Automation, 2025
  4. 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
  5. 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