Cam Fulton is a Staff Robotics Engineer with 11 years of experience building model-based control, estimation, and motion planning systems for real-world automation and legged locomotion. He has led controls and state-estimation efforts at Symbotic and Agility Robotics and now applies that expertise to robotics at Chewy, combining trajectory optimization, MPC, and sensor fusion to solve challenging perception-to-action problems. Proficient in C/C++, Python, MATLAB and embedded toolchains, he bridges algorithm research and production software on Ubuntu/ROS ecosystems. Trained at Georgia Tech (M.S.) and with a biomedical engineering background, he brings a pragmatic instrumentation mindset—able to move from low-level signal processing to high-level motion planners—and a track record of shipping robust, model-driven robotic systems.
11 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.), Electrical and Computer Engineering, Master of Science (M.S.), Electrical and Computer Engineering at Georgia Institute of Technology
Bachelor of Science (B.S.), Biomedical Engineering, Bachelor of Science (B.S.), Biomedical Engineering at University of Connecticut
Contributions:1 release, 44 commits, 3 PRs in 4 years 10 months
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