Zhaoyuan Gu is a Ph.D. robotics researcher at Georgia Tech with 11 years of hands-on experience building and controlling legged and articulated robots. He has developed dynamic control frameworks for humanoids at Toyota Research Institute—achieving agile motions at 2 m/s with 500 Hz control—and implemented industrial motion planning solutions using OMPL and RRT*-based trajectory search at Mechmind. His work spans simulation (Drake/C++), optimal tracking, QP and inverse dynamics controllers, and simplified models like 3D-LIPM for planning, combining rigorous theory with production-focused performance. Beyond internships, he prototypes novel platforms—having designed a monkey robot, a snake robot, and worked on hexapod locomotion—demonstrating both creative hardware intuition and software depth. Based in Atlanta, he brings a rare blend of robot dynamics expertise and practical motion-planning skills that accelerate bringing agile legged systems toward real-world deployment.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Georgia Institute of Technology
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Tsinghua University
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Carnegie Mellon University
Contributions:1 release, 15 commits, 3 PRs in 3 years
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