Summary
Changkun Chai is a software engineer with 9 years of experience specializing in robotics, ROS, and deep learning, currently working at NIO in Beijing. He previously built robot drivers and perception functions at ISCAS Xlab, created a Robot Blockly for Xbot, and designed an 8-lesson ROS tutorial for beginners, showing a strong commitment to tooling and education. At Momenta he worked as a robotics systems engineer on production-grade autonomy before moving into automotive software at NIO. His background includes hands-on projects with Intel Galileo, RealSense RGBD, and Nanodegrees in Robotics and Deep Learning, blending academic rigor with practical prototyping. Comfortable across embedded systems, perception stacks, and curriculum design, he brings both research lab experience and industry delivery to robotics initiatives. A detail that sets him apart is his focus on making complex robotic systems accessible via teaching tools and tutorials while shipping real-world vehicle and robot software.
9 years of coding experience
2 years of employment as a software developer
Robotics Nanodegree, Robotics Technology/Technician, Robotics Nanodegree, Robotics Technology/Technician at Udacity
Bachelor's degree, Automation, 82/100 avg, Bachelor's degree, Automation, 82/100 avg at Beijing Institute of Technology
English