Robust Field Autonomy Laboratory


The Robust Field Autonomy Lab designs algorithms, optimization methods and control systems that help mobile robots achieve robust autonomy in complex physical environments.

Recent work has considered sensing tasks motivated by underwater surveillance and inspection applications, autonomous exploration under sparse and noisy data, and path planning with multiple objectives, unreliable sensors, and imprecise maps.


Brendan Englot, Ph.D.