Summary
Baichuan Huang is an Applied Scientist with eight years of robotics and computer vision experience, currently advancing dexterous manipulation and VLA research at Amazon Robotics. He built end-to-end production bin-picking systems at Coupang, owning perception, motion planning, force-aware control, and operator-facing calibration tools that bridged lab prototypes to warehouse deployment. His background blends PhD-level research (Rutgers) with hands-on sim-to-real work—transferring PPO policies and real-time pose tracking from simulation to UR5 hardware—demonstrating both algorithmic rigor and practical systems engineering. Known for integrating perception and control (grasp pose generation, empty-bin and bagging-defect detection) he focuses on reducing failure modes in real-world manipulation. He combines academic depth with product-minded execution, including designing web UIs and custom calibration hardware to make advanced robotics accessible to operators.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Liverpool
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Brown University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Xi'an Jiaotong-Liverpool University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University