About

Geoffrey A. Hollinger is a roboticist whose research spans autonomous systems, multi-robot coordination, and robotic information gathering — with particular emphasis on enabling robots to make intelligent decisions in complex, dynamic environments. His most influential work, "Search and Pursuit-Evasion in Mobile Robotics" (2011, 534 citations), established foundational frameworks for how robots locate and track moving targets, a problem with broad applications from search-and-rescue to surveillance. Complementing this, his highly cited work on sampling-based robotic information gathering (2014, 332 citations) introduced algorithms that allow mobile robots to plan trajectories maximizing information gain within practical constraints — a cornerstone contribution to autonomous environmental monitoring. Hollinger has also made significant contributions to underwater robotics, developing path-planning strategies for autonomous underwater vehicles collecting sensor network data (2012, 198 citations) and applying model predictive control to handle ocean wave disturbances. His work on multi-robot coordination addresses the challenge of maintaining periodic connectivity in teams with limited communication, a problem tackled across multiple influential publications. Early in his career, he contributed to the celebrated HERB home robot project (2009, 310 citations). Across his body of work, Hollinger has consistently bridged theoretical rigor with real-world deployability, cementing his reputation as a leading voice in autonomous robotic systems research.

Research Focus

Key Achievements

26
H-Index
72
Papers
3,116
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Search and pursuit-evasion in mobile robotics
534 citations · 2011
📈 Most Prolific Year: 2018 (8 Papers)
🤝 Key Collaborators: 144
🏛 Institutions: University of Southern California, Oregon State University, Carnegie Mellon University, Aristotle University of Thessaloniki, Swarthmore College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago