Daniel Sun is a robotics-focused software engineer with a PhD in Mechanical Engineering from UCLA and a decade of experience building real-world autonomy systems. He has developed safety-critical motion planning and control software for autonomous vehicles at Zoox and shipped perception, mapping, and navigation stacks for GPS-denied, rough-terrain robots at OffWorld. At UCLA’s RoMeLa he bridged trajectory optimization, state estimation, and soft real-time control to bring bipedal humanoid research onto hardware, and he has a track record of turning academic algorithms into production-ready systems. Based in San Francisco, he blends deep controls and optimization expertise with hands-on systems engineering, firmware-level communication design, and curriculum development—an uncommon mix that helps him translate complex research into operational autonomy.
Contributions:9 pushes, 1 branch in 1 year 7 months
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