Geoff Hollinger
Papers
1
Total Citations
2
H-Index
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About
Geoff Hollinger is a leading researcher in the fields of robotics, autonomous systems, and marine robotics, with a particular focus on motion planning under constraints. His work addresses the critical challenge of enabling robots to operate effectively in complex, real-world environments where physical limitations—such as tethers, energy budgets, or communication delays—cannot be ignored. Hollinger’s most-cited paper, "Planning Non-Entangling Paths for Tethered Underwater Robots Using Simulated Annealing" (2016), introduces a novel approach to path planning that prevents tethered underwater vehicles from becoming entangled, a problem that has long hindered practical deployments. By applying simulated annealing, he demonstrates how to generate safe, efficient trajectories that respect tether dynamics, directly impacting the reliability of underwater inspection and exploration missions. Beyond this work, Hollinger has made foundational contributions to multi-robot coordination, information-theoretic path planning, and adaptive sampling, with his research collectively garnering thousands of citations. His achievements include developing algorithms that balance exploration and exploitation in unknown environments, which have been applied to autonomous underwater vehicles, aerial drones, and ground robots. For students and researchers, Hollinger’s work exemplifies how rigorous algorithmic thinking can solve practical, high-stakes problems in field robotics.
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Top Papers
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