John G. Keller
Papers
5
Total Citations
143
H-Index
5
About
John G. Keller is a leading researcher in field robotics, specializing in multi-robot systems, autonomous exploration, and resilient SLAM for extreme environments. His work addresses the fundamental challenges of deploying robots in GPS-denied, subterranean, and all-weather conditions—pushing the boundaries of what autonomous systems can achieve in search-and-rescue and industrial inspection. Keller’s most influential paper, “Resilient and Modular Subterranean Exploration with a Team of Roving and Flying Robots” (50 citations), presents a comprehensive framework for coordinating heterogeneous robots in complex underground spaces, a key contribution to the DARPA Subterranean Challenge. He also introduced the SubT-MRS Dataset (46 citations), a critical resource for advancing SLAM robustness in adverse conditions, and developed the Pegasus Simulator (29 citations), an Isaac Sim-based tool for high-fidelity aerial vehicle simulation. His multi-robot exploration pipeline, featuring geometric cue extraction and circular decomposition, enables systematic room-by-room mapping. With over 140 total citations and a proven track record in both algorithmic innovation and open-source tooling, Keller is shaping the future of autonomous exploration in the world’s most challenging terrains.
Research Focus
Key Achievements
Top Papers
- 1
- 2SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments46 citations · 2024
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- 5Exploring the Most Sectors at the DARPA Subterranean Challenge Finals6 citations · 2023