Summary
Pengcheng Cao is a postdoctoral research associate and robotics researcher with eight years of multidisciplinary experience designing fully-actuated multirotor UAVs for GPS-denied, search-and-rescue missions. He holds a Ph.D. in Mechanical Engineering from UC San Diego and an MS in Computer Science, blending controls, multi-sensor fusion, and deep learning to deliver robust trajectory tracking and collision-avoidance systems. Pengcheng has applied his skills across academia, national lab research, and industry—bringing hands-on expertise in ROS, embedded systems, CAD/CAM, and multiple programming languages. Fluent in Chinese, English, and German, he has a track record of turning mission-oriented multidisciplinary design optimization into practical prototypes and field-ready algorithms. Now based at Idaho National Laboratory, he combines rigorous research with pragmatic engineering to push indoor autonomy for complex, time-critical missions.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS (Online), Computer Science, 3.5/4.0, Master of Science - MS (Online), Computer Science, 3.5/4.0 at Arizona State University
Exchange in Master of Science Program, Energy Science Technology, 3.80/4.00, Exchange in Master of Science Program, Energy Science Technology, 3.80/4.00 at Ulm University
University of California, San Diego
Bachelor's degree, Energy and Environmental System Engineering, Bachelor's degree, Energy and Environmental System Engineering at Shandong University
High School Diploma, High School Diploma at Suzhou High School
German, English, Chinese