Summary
Yuhang Che is a software engineer and technical lead with 10 years’ experience building autonomy systems, currently leading the ML-planner team at AutoX to fuse machine learning approaches with classical planning for production autonomous vehicles. He previously drove motion planning work at Waymo and holds a PhD from Stanford in robotics, with deep research experience in interactive mobile robots, human–robot interaction, AI, and haptics. Comfortable moving ideas from papers to road-ready software, he has a track record of integrating sensors, control algorithms, and real-world user studies across academia and industry. Based in Sunnyvale, he combines technical leadership with hands-on implementation of perception, planning, and control stacks, and brings uncommon cross-domain experience from surgical-robot control to wearable human–robot interfaces.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at Shanghai Jiao Tong University
Bachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at Purdue University
Doctor of Philosophy (PhD) Mechanical Engineering - Robotics, Doctor of Philosophy (PhD) Mechanical Engineering - Robotics at Stanford University
Chinese, English