Matthew Silic
Papers
2
Total Citations
28
H-Index
2
About
Matthew Silic is a leading researcher in robotic swarms and environmental monitoring, with a focus on deploying autonomous systems for real-world sensing challenges. His most impactful work centers on the development of a plume monitoring UAV flock, detailed in his 2019 paper "Field Deployment of a Plume Monitoring UAV Flock" (21 citations), which validates a networked flock of unmanned aerial vehicles equipped with environmental sensors as part of a dynamic data-driven application system. This work demonstrates practical, field-tested solutions for atmospheric monitoring. Silic has also advanced swarm control theory through his 2021 paper "Smoothed-Particle-Hydrodynamics for the Control of Robotic Swarms, and Parametric Associations" (7 citations), which applies smoothed-particle-hydrodynamics to manage macroscopic swarm properties emerging from individual robot interactions. By bridging theoretical control methods with tangible deployments, Silic has made significant contributions to the scalability and robustness of robotic swarms, offering innovative tools for environmental science and autonomous systems. His research continues to inspire new approaches in distributed robotics and real-time data collection.
Research Focus
Key Achievements
Top Papers
- 1Field Deployment of a Plume Monitoring UAV Flock21 citations · 2019
- 2