Papers

3

Total Citations

26

H-Index

2

About

John Higinbotham is a pioneer in autonomous marine robotics, with his research centered on multi-robot systems for environmental sensing and ocean-atmosphere science. His major contribution is the development of the Telesupervised Adaptive Ocean Sensor Fleet (TAOSF) architecture, a groundbreaking system that coordinates a team of robotic boats—the OASIS platforms—to conduct in situ studies of ocean surface and subsurface phenomena. This work bridges a critical gap in Earth science, overcoming the limitations of satellites, buoys, and crewed ships by enabling persistent, adaptive, and high-resolution data collection. His most-cited paper, "Operation of Robotic Science Boats Using the Telesupervised Adaptive Ocean Sensor Fleet System" (2008, 19 citations), details the software architecture and field operations that allow human operators to supervise and coordinate these autonomous vessels in real time. Higinbotham’s innovations directly address the challenge of studying the dynamic ocean-atmosphere interface, providing scientists with a flexible tool for climate and ecology research. His work represents a significant step toward scalable, intelligent robotic fleets for long-duration environmental monitoring.

Research Focus

Key Achievements

2
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Operation of Robotic Science Boats Using the Telesupervised Adaptive Ocean Sensor Fleet System
19 citations · 2008
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Emergent Space Technologies (United States), Goddard Space Flight Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago