Summary
Chiyen Lee is a software engineer and robotics specialist with a decade of experience building perception, control, and state-estimation systems for mobile and legged robots. Currently at Applied Intuition after leading perception R&D at Dextrous Robotics, he has delivered multi-camera calibration pipelines, multi-frame correspondence features, and sensor integrations for complex manipulation and warehouse robotics. His research background from CMU includes real-time contact implicit MPC and novel inertial stabilization for quadrupeds, and he has a track record of turning advanced control theory into field-tested controllers. Chiyen’s hands-on prototyping spans LiDAR and UWB calibration, ASV autonomy with ADCP sensors, and fast alignment controllers for greenhouse robots—demonstrating a rare mix of algorithmic depth and practical systems engineering. Based in the Bay Area, he pairs a Carnegie Mellon MS in Robotics with years of cross-disciplinary research and industry work, often bridging perception, planning, and low-level control. A less obvious strength is his consistent role as a connector between academic innovations and production-ready robotics software, shipping research ideas into deployed systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Engineering, Bachelor of Science - BS Engineering at Harvey Mudd College
Master of Science - MS Robotics, Master of Science - MS Robotics at Carnegie Mellon University