John G. Keller

Carnegie Mellon University

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

5
H-Index
5
Papers
143
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Resilient and Modular Subterranean Exploration with a Team of Roving and Flying Robots
50 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 77
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago