Sergio Cerezal
Papers
1
Total Citations
2
H-Index
1
About
Sergio Cerezal is a robotics researcher whose work focuses on autonomous surveillance systems and sensor-based navigation. His most cited paper, "VIGICOP: Autonomous surveillance robots with sodar detection and autonomous navigation" (2010, 2 citations), introduces a security system that employs autonomous robots equipped with SODAR-like detection sensors using acoustic signals in air environments. The system integrates Geographic Information Systems and Markov models for navigation, representing an early effort to combine acoustic sensing with probabilistic path planning for robotic security applications. While his citation count is modest, Cerezal's contribution lies in demonstrating how low-cost acoustic sensors could be paired with GIS data and Markov decision processes to enable autonomous patrol and threat detection. This work sits at the intersection of robotics, sensor fusion, and security automation, offering a practical framework for deploying mobile robots in indoor or outdoor surveillance scenarios. His research highlights the potential of acoustic-based perception systems as an alternative or complement to more common visual or LiDAR-based approaches, particularly in environments where optical sensors may be limited.
Research Focus
Key Achievements
Top Papers
- 1