Thiago Lamenza
Papers
1
Total Citations
3
H-Index
1
About
Thiago Lamenza is a researcher at the forefront of autonomous robotics and wireless sensor networks, with a focus on integrating unmanned aerial vehicles (UAVs) for real-world data collection. His work centers on bridging the gap between simulation and practical deployment, particularly in surveillance and environmental monitoring missions. Lamenza’s most cited paper, “Collecting Sensor Data from WSNs on the Ground by UAVs: Assessing Mismatches from Real-World Experiments and Their Corresponding Simulations” (2023), critically evaluates the discrepancies between simulated and actual performance in UAV-assisted sensor data retrieval. This contribution is vital for improving the reliability of autonomous systems in dynamic environments. With 3 citations to date, his research is gaining traction among peers seeking robust communication protocols for aerial-ground robot coordination. Lamenza’s achievements include advancing the understanding of how UAVs can efficiently collect point-of-interest data from ground-based wireless sensor networks, addressing key challenges in mobility, coverage, and data fidelity. His work is particularly relevant for students and researchers exploring the intersection of robotics, networking, and real-world validation, offering practical insights into the limitations and opportunities of autonomous surveillance systems.
Research Focus
Key Achievements
Top Papers
- 1