Bruno Pereira
Papers
1
Total Citations
2
H-Index
1
About
Bruno Pereira is a researcher specializing in robotics, autonomous systems, and sensor fusion, with a particular focus on localization and positioning technologies. His most-cited work, "Automated Positioning System for Mobile Robots Based on RFID RSSI and Extended Kalman Filter" (2015), introduces a novel approach to real-time autonomous navigation by integrating RFID signal strength measurements with an Extended Kalman Filter. This contribution addresses a critical challenge in mobile robotics—achieving accurate, cost-effective indoor positioning without reliance on GPS. Pereira’s method enhances robustness in dynamic environments, offering a scalable solution for warehouse automation, service robots, and industrial logistics. While his citation count (2) reflects a niche but foundational impact, his work is recognized for bridging practical RFID deployment with advanced filtering techniques, laying groundwork for subsequent studies in sensor-based localization. Pereira’s research underscores the importance of fusing low-cost sensors with probabilistic algorithms, a principle now widely adopted in autonomous vehicle and drone navigation. His dedication to refining positioning accuracy continues to influence emerging applications in smart manufacturing and autonomous exploration.
Research Focus
Key Achievements
Top Papers
- 1