Richard A. Coogle
Georgia Tech Research Institute, Georgia Institute of Technology
Papers
4
Total Citations
28
H-Index
3
About
Richard A. Coogle is a researcher at the intersection of robotics, human-robot interaction, and environmental monitoring. His work focuses on enabling robots to learn from humans through shared digital workspaces, as demonstrated in his 2014 paper on using tablet-based interactive demonstrations for human-robot learning scenarios (13 citations). This foundational research addresses a critical challenge in building long-term robotic companions: the ability to continuously acquire new skills through natural human guidance. Coogle has also made significant contributions to autonomous environmental monitoring, particularly in polar regions. His work on the "Iceberg Observation Problem" (9 citations) proposes a formal framework for using multiple robotic agents to track and observe ablating ice sources—a practical solution for maritime safety in increasingly navigable Arctic waters. Extending this line of inquiry, he developed estimation-informed, resource-aware navigation strategies for environmental sampling (4 citations), optimizing how autonomous agents collect spatially-distributed geophysical data like temperature and humidity. Coogle's research elegantly bridges theoretical robotics with pressing real-world applications, from climate monitoring to maritime hazard detection.
Research Focus
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Top Papers
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