Yu Jiang
Principal Robotics Engineer at Symbotic
Wellesley, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolYu Jiang is a Principal Robotics Engineer and applied mathematician with 11 years of experience building control, planning, and perception systems for autonomous vehicles and active suspension platforms. He holds a PhD in Control Theory and is the primary author of the book Robust Adaptive Dynamic Programming, with over 30 academic publications bridging nonlinear control, optimization, and machine learning. Yu has led R&D and technical teams at ClearMotion and ISEE AI, designing SLAM, motion planning, and optimal control algorithms that progressed from MATLAB/Simulink prototypes to in-vehicle and hardware-in-the-loop validation. He combines deep theoretical insight with hands-on product engineering—tuning control systems on proving grounds and advising on patent litigation and IP strategy as a consultant. Based in Wellesley, MA, he now applies this blend of research and systems experience to robotics at Symbotic, where he focuses on turning advanced mathematics into reliable, deployable autonomy solutions.
11 years of coding experience
8 years of employment as a software developer
Ph.D, Electrical Engineering, Ph.D, Electrical Engineering at New York UniversityBachelor of Science, Mathematics and Applied Mathematics, Bachelor of Science, Mathematics and Applied Mathematics at Sun Yat-sen UniversityMaster of Science, Control Theory and Control Engineering, Master of Science, Control Theory and Control Engineering at South China University of Technology
English, Chinese
Github Skills (7)
dynamic-programming9
machine-learning8
dos8
parking8
genesis6
collections5
dosbox4
Programming languages (4)
Github contributions (5)
yu-jiang/radpbook
Aug 2015 - Jan 2023
Contributions:35 commits, 6 PRs, 86 pushes in 7 years 6 months
adaptivedynamic-programmingmachine-learning
yu-jiang/Paper_Automatica2012_CTLTI
Feb 2015 - Jun 2017
Contributions:10 commits, 10 pushes, 1 comment in 2 years 5 months
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