Summary
Henry Chang is a PhD candidate and multi-robot systems researcher with 13 years of engineering experience building dynamics-first control, motion planning, and robot learning systems for robotics, autonomous vehicles, and manufacturing automation. He combines hands-on systems engineering (ROS, Python, C++) with research in high-performance tracking, safety-constrained sampling-based planning, and data-driven manufacturing control validated on industrial ABB and UR robot deployments. His work spans academic and industry settings—from architecting multi-robot networks for self-driving labs and delay-self-reinforcement visual platoon tracking to Level 4 autonomous vehicle control and large-structure shape control at Boeing. Henry favors solutions that translate lab-proven algorithms into reliable field performance and has repeatedly demonstrated the ability to close the loop between modeling, learning, and deployment on real hardware.
13 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at University of Washington
University of California, San Diego
Bachelor of Science - BS Civil Engineering (With minor: Mechanical Engineering), Bachelor of Science - BS Civil Engineering (With minor: Mechanical Engineering) at National Cheng Kung University
Chinese, English