Summary
Brent Schlotfeldt is a Senior Software Engineer with 12 years of experience bridging robotics research and production-scale planning algorithms, currently working on planning at Waymo. He is a PhD candidate in Electrical and Systems Engineering at UPenn’s GRASP lab, where he developed resilient multi-robot information-gathering algorithms with provable sub-optimality bounds and demonstrated them on multi-UAV hardware experiments. His background blends rigorous theory (convex optimization, control, information-theoretic objectives) with hands-on systems work from autonomous vehicles to delay-tolerant networking and SLAM. Brent has interned at top labs including Toyota Research Institute and nuTonomy, contributing graph neural network and motion-planning expertise that now informs real-world autonomy stacks. He leverages dual undergraduate degrees in EE and CS from University of Maryland and a track record of turning theoretical guarantees into real-time, failure‑resilient implementations. A less obvious strength is his combination of field deployments and human-subject studies (mobile data usage in South Africa), showing versatility across technical and socio-technical research.
13 years of coding experience
13 years of employment as a software developer
B.S. Electrical Engineering, B.S. Computer Science, Minor Engineering Leadership Development, B.S. Electrical Engineering, B.S. Computer Science, Minor Engineering Leadership Development at University of Maryland
Doctor of Philosophy (Ph.D.) Electrical and Systems Engineering, Doctor of Philosophy (Ph.D.) Electrical and Systems Engineering at University of Pennsylvania