Douglas Silva
Papers
1
Total Citations
2
H-Index
1
About
Douglas Silva is a researcher focused on multi-robot systems, autonomous surveillance, and cooperative observation in complex environments. His most cited work, "Cooperative Observation of Malicious Targets in a 3D Urban Traffic Environment Using UAVs" (2021), extends the classic Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) problem from 2D to three-dimensional urban settings. In this study, Silva addresses the challenge of using unmanned aerial vehicles (UAVs) as observers to monitor malicious ground targets under limited sensor range, aiming to minimize total observation time. This contribution is significant for applications in security, traffic monitoring, and defense, where real-time tracking of hostile agents in cluttered cityscapes is critical. While his citation count is still growing—with the paper currently cited twice—Silva’s work represents an important step in adapting multi-robot coordination algorithms to realistic, high-fidelity 3D environments. His research bridges theoretical robotics and practical deployment challenges, offering insights for students and engineers working on autonomous surveillance systems. As the field of drone-based monitoring expands, Silva’s contributions are poised to gain further recognition for their relevance to smart city infrastructure and public safety.
Research Focus
Key Achievements
Top Papers
- 1