Barry Brumitt
Papers
7
Total Citations
434
H-Index
6
About
Barry Brumitt is a pioneer in multi-robot mission planning and autonomous navigation for unstructured outdoor environments. His research focuses on enabling teams of mobile robots to operate effectively in unknown, dynamic, and sparsely populated spaces where maps are incomplete. Brumitt’s key contributions include the development of the GRAMMPS system (Generalized Mission Planner for Multiple Mobile Robots), which allows cooperative robots to dynamically reassign tasks and plan optimal paths as new information is gathered. He also introduced the framed-quadtree path planning algorithm, an efficient representation for incremental route generation in vast terrains. His most cited works—including the 2002 paper on framed-quadtree planning (118 citations) and the GRAMMPS paper (116 citations)—demonstrate lasting impact in robotics. Brumitt’s dynamic mission planning framework, first presented in 1997 (110 citations), remains foundational for real-world applications like autonomous cross-country driving and multi-vehicle coordination. His work bridges theory and practice, addressing the critical challenge of deploying robots in risky, expensive, or inaccessible environments.
Research Focus
Key Achievements
Top Papers
- 1Framed-quadtree path planning for mobile robots operating in sparse environments118 citations · 2002
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- 3Dynamic Mission Planning for Multiple Mobile Robots110 citations · 1997
- 4Dynamic mission planning for multiple mobile robots64 citations · 2002
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