Summary
Chin-po Tsai is a robotics software engineer with a decade of experience building SLAM, perception, and computer vision systems for commercial robots and industrial automation. He has contributed to mapping and localization stacks at iRobot and developed real-time vision and camera-localization solutions that improved operational efficiency by 80% in textile automation. Chin-po holds master's degrees in Robotics (University of Maryland), Electrical Engineering (NTU) and is pursuing further CS studies at Georgia Tech, blending strong theoretical foundations with production-grade C++ and Python engineering. His work spans camera and non-camera modalities, sensor fusion, and low-latency cross-platform integrations, and includes published research on robotic massage at ICRA 2017. Based in Atlanta, he thrives in cross-disciplinary teams and enjoys applying robotics to healthcare and manufacturing problems that demand both algorithmic rigor and practical systems engineering.
10 years of coding experience
6 years of employment as a software developer
Master's degree Electrical Engineering, Master's degree Electrical Engineering at National Taiwan University
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Master's degree Robotics, Master's degree Robotics at University of Maryland
Chinese, English