Pengcheng Zhao
Doer In Stealth Mode at RoboForce
United States
Summary
👤
Senior🎓
Top SchoolPengcheng Zhao is a robotics-focused researcher-engineer with a decade of experience applying real-time optimization, control theory, and numerical methods to autonomous vehicles and robotic systems. He holds a PhD in Mechanical Engineering from the University of Michigan and has blended academic rigor with industry impact through roles at Cyngn, Amazon Fulfillment Technologies & Robotics, and now a stealth robotics venture. Pengcheng has led and mentored teams, coached student researchers, and organized large technical groups, translating advanced math and control concepts into production-grade solutions. His background spans hands-on algorithm development, system-level integration, and deployment in warehouse and autonomy contexts, with a knack for making sophisticated optimization practical under real-time constraints. Colleagues would note his uncommon combination of deep theoretical grounding (topology, differential geometry, numerical optimization) and pragmatic delivery in high-throughput robotic environments.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at University of Michigan - Rackham Graduate SchoolBachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at Shanghai Jiao Tong University
English, ChineseGithub contributions (5)
pczhao/hybridOCP
Feb 2017 - Feb 2019
Contributions:5 commits, 3 pushes, 1 branch in 2 years
pczhao/TA_GaitDesign
Sep 2019 - Dec 2019
Contributions:8 commits, 6 pushes in 2 months
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