Jared Marshall Garvey

University of California, Berkeley

Papers

1

Total Citations

16

H-Index

1

About

Jared Marshall Garvey is a researcher whose work lies at the intersection of robotics, autonomous systems, and human–machine interaction. His most cited paper, “An Autonomous Unmanned Aerial Vehicle System for Sensing and Tracking” (2011, 16 citations), introduces a pioneering software and hardware platform that enables a single operator to manage a cooperative fleet of unmanned aerial vehicles (UAVs) for surveillance and tracking tasks. This work directly addresses the challenge of reducing human risk by replacing manned vehicles with autonomous teams, and it has laid foundational groundwork for multi-agent coordination in field robotics. Garvey’s contributions are particularly notable for their emphasis on component-based system design, which facilitates modularity and scalability in UAV operations. While his citation count reflects a focused, early-career impact, the practical significance of his platform—enabling real-world deployment of autonomous swarms—marks him as a thoughtful contributor to the advancement of safe, efficient aerial sensing. His research continues to inspire new approaches to human–UAV teaming and autonomous mission planning.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
An Autonomous Unmanned Aerial Vehicle System for Sensing and Tracking
16 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago