Matheus Sarreta Oda
Papers
1
Total Citations
2
H-Index
1
About
Matheus Sarreta Oda is a researcher specializing in autonomous robotics and sensor-based localization systems. His work focuses on enhancing the precision and reliability of mobile robot navigation through innovative signal processing techniques. Oda’s most notable contribution is his development of an automated positioning system for mobile robots, detailed in his 2015 paper "Automated Positioning System for Mobile Robots Based on RFID RSSI and Extended Kalman Filter." This research harnesses real-time Received Signal Strength Indicator (RSSI) data from RFID readers, processed through an Extended Kalman Filter, to achieve robust and accurate localization in dynamic environments. Although his work has garnered 2 citations, its practical implications for warehouse automation, logistics, and industrial robotics are significant, offering a cost-effective alternative to more expensive positioning systems. Oda’s approach demonstrates a keen ability to integrate hardware and software solutions, addressing key challenges in autonomous navigation. His contributions are particularly valuable for researchers exploring low-cost, scalable localization methods, and his work continues to inform advancements in mobile robotics and sensor fusion technologies.
Research Focus
Key Achievements
Top Papers
- 1