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.
12 years of coding experience
9 years of employment as a software developer
The University of Maryland, College Park
Doctor of Philosophy (Ph.D.), Electrical and Systems Engineering, Doctor of Philosophy (Ph.D.), Electrical and Systems Engineering at University of Pennsylvania