Summary
Xudong Chen is an AI/robotics-focused engineer with eight years of experience combining deep learning, motion planning, and mechatronics across industry and academia. Currently an MS EE research assistant at Columbia, he has driven data-driven trajectory prediction and robotic surgery kinematic reconstruction work while previously improving highway trajectory prediction accuracy by up to 60–70% at SAIC Motor. He interned at Symbotic building an online OMPL-based trajectory planner that outperformed offline methods in misalignment scenarios, and contributed vehicle control and estimation work for Columbia’s Formula Student EV team. Comfortable spanning research, production deployment, and hardware-integrated systems, he blends strong academic credentials from Columbia, TU Darmstadt and Tsinghua with hands-on experience in autonomous vehicles and warehouse robotics. Notably, his background includes both mechanical design (FEM and actuator integration) and end-to-end ML pipeline development, giving him a rare full-stack perspective on robot autonomy.
8 years of coding experience
6 years of employment as a software developer
Technischen Universität Darmstadt
Master of Science - MS, Electrical Engineering, 4.08/4.0, Master of Science - MS, Electrical Engineering, 4.08/4.0 at Columbia University
Bachelor of Science - BS, Mechanical Engineering and Automation, Bachelor of Science - BS, Mechanical Engineering and Automation at Tsinghua University
Chinese, English, Japanese, German