Papers
14
Total Citations
441
H-Index
11
About
Micah Corah is a leading researcher in multi-robot systems, with a focus on autonomous exploration, mapping, and persistent coverage in complex, unstructured environments. His work is distinguished by the development of theoretically grounded, scalable algorithms that enable teams of robots to coordinate efficiently under real-world constraints like limited communication and fuel. Corah’s major contributions include the Distributed Sequential Greedy Assignment (DSGA) algorithm for online exploration and a framework for communication-efficient planning and mapping using Gaussian mixture models, which allows for high-resolution 3D mapping with a small memory footprint. His research on distributed matroid-constrained submodular maximization provides formal performance guarantees for multi-robot exploration, a paper that has garnered 95 citations. Corah has also pioneered information-theoretic approaches for active estimation in cooperative manipulation and for exploring complex terrains like pits and caves, targeting planetary exploration applications. His work on the BAXTER bi-modal aerial-terrestrial vehicle demonstrates his commitment to practical, long-endurance robotic systems. With over 400 total citations, Corah’s research is essential reading for anyone interested in the intersection of distributed planning, submodular optimization, and real-world multi-robot deployment.
Research Focus
Key Achievements
Top Papers
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- 4Multi-robot long-term persistent coverage with fuel constrained robots55 citations · 2015
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- 6Environment model adaptation for mobile robot exploration23 citations · 2017
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- 8Scalable Distributed Planning for Multi-Robot, Multi-Target Tracking15 citations · 2021
- 9Active estimation of mass properties for safe cooperative lifting13 citations · 2017
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