Brandon Basso

University of California, Berkeley

Papers

3

Total Citations

24

H-Index

3

About

Brandon Basso is a leading researcher in autonomous robotics, with a primary focus on cooperative unmanned aerial vehicle (UAV) systems. His work centers on developing the software and hardware architectures that enable teams of drones to work together autonomously, tackling complex tasks such as surveillance, sensing, and target tracking. Basso’s major contribution is his pioneering approach to multi-robot coordination, demonstrated in his most-cited paper, "An Autonomous Unmanned Aerial Vehicle System for Sensing and Tracking" (2011, 16 citations), which introduced a platform allowing a single user to control an entire UAV fleet. He further advanced the field with his work on modular system architectures, detailed in "A Multi-Level Modularized System Architecture for Mobile Robotics" (2010, 5 citations), where he conceptualized robots as collections of functional subsystems that can dynamically join forces. His vision of collaborative, airborne autonomy—highlighted in his article "Airborne, Autonomous & Collaborative" (2011, 3 citations)—has helped shape the modern ambition of deploying squadrons of low-cost UAVs for shared objectives. Basso’s research is foundational for anyone exploring scalable, multi-agent robotic systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
An Autonomous Unmanned Aerial Vehicle System for Sensing and Tracking
16 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago