Papers
11
Total Citations
217
H-Index
4
About
Cameron Nowzari is a leading researcher in the dynamics, controls, and robotics, with a particular focus on the coordination of networked cyber-physical systems and multi-robot swarms. His foundational work on self-triggered and team-triggered control has redefined how distributed robotic networks communicate, reducing the need for constant, energy-draining updates. His most-cited paper, "Self-triggered coordination of robotic networks for optimal deployment" (2012), has garnered 152 citations and introduced opportunistic communication criteria that allow mobile sensors to coordinate efficiently with outdated information. Nowzari’s contributions extend to bridging the simulation-reality gap for robot swarms, as seen in his 2023 work "Simulate Less, Expect More," which challenges conventional approaches to real-world deployment. He has also pioneered biologically inspired designs, including underwater robotics and virtual pheromone-based target tracking, and developed STEM outreach programs for maritime robotics. His work on lighter-than-air autonomous robots and acoustic Doppler-based flocking demonstrates a commitment to practical, real-world applications. With a career spanning over a decade, Nowzari’s research continues to shape the future of autonomous, energy-aware multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Self-triggered coordination of robotic networks for optimal deployment152 citations · 2012
- 2Team-triggered coordination of robotic networks for optimal deployment22 citations · 2015
- 3Self-triggered coordination of robotic networks for optimal deployment17 citations · 2011
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- 6Real-Time Distributed Multi-Robot Target Tracking via Virtual Pheromones3 citations · 2022
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- 10Distributed Multi-Robot Flocking Based on Acoustic Doppler Effect2 citations · 2023