Papers
9
Total Citations
176
H-Index
7
About
Jonathan Brookshire is a leading researcher in multi-robot coordination, sensor fusion, and human-robot interaction, with a focus on enabling autonomous systems to operate in complex, unstructured environments. His most influential work, "Sensor fusion for flexible human-portable building-scale mapping" (57 citations), pioneered a body-worn system that integrates RGB-D cameras, LIDAR, inertial, and barometric sensors to rapidly construct multi-floor indoor maps—a critical capability for emergency response missions. Brookshire has also made foundational contributions to cooperative robotics, as seen in his highly cited papers on "sliding autonomy for assembly by coordinated teams" (26 and 23 citations), where he developed frameworks for heterogeneous robot teams to collaboratively assemble structures, addressing contingencies that single robots cannot handle. His work on "Automatic Calibration of Multiple Coplanar Sensors" (25 citations) introduced efficient algorithms for recovering sensor transformations on mobile robots, enhancing system reliability. Additionally, Brookshire explored novel control paradigms, such as heads-up, hands-free operation of ground robots (8 citations), comparing it to traditional teleoperation to improve user efficiency. With over 170 total citations, his research bridges perception, autonomy, and human factors, advancing practical robotics for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Sensor fusion for flexible human-portable building-scale mapping57 citations · 2012
- 2Preliminary results in sliding autonomy for assembly by coordinated teams26 citations · 2005
- 3Automatic Calibration of Multiple Coplanar Sensors25 citations · 2011
- 4Preliminary Results in Sliding Autonomy for Coordinated Teams23 citations · 2018
- 5Person Following Using Histograms of Oriented Gradients21 citations · 2010
- 6Automatic Calibration of Multiple Coplanar Sensors11 citations · 2012
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