Papers
8
Total Citations
91
H-Index
6
About
Fernando Moita is a leading researcher in autonomous robotics and intelligent vehicle systems, with a career spanning over two decades of impactful contributions. His work primarily focuses on autonomous navigation, sensor fusion, and robotics education. Moita’s most influential contribution is the development of the ISRobotCar, an experimental autonomous electric vehicle that integrates the Robot Operating System (ROS) with a suite of sensors including IBEO laser scanners, IMU, RTK-GPS, and vision cameras. This project, detailed in his most-cited paper (27 citations), has advanced steering and path-following control systems for autonomous driving. He also pioneered an outdoor guidepath navigation system for autonomous mobile robots using magnetic markers and extended Kalman filters (14 citations), and developed innovative sonar configurations for feature detection (12 citations). Moita’s work on a 3D laser-based triangulation sensor (11 citations) further demonstrates his expertise in sensor design. Beyond research, he is dedicated to robotics education, promoting project-based learning and bio-inspired robotics. With over 90 total citations, Moita’s contributions continue to influence both autonomous vehicle technology and the next generation of roboticists.
Research Focus
Key Achievements
Top Papers
- 1Autonomous electric vehicle: Steering and path-following control systems27 citations · 2012
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- 43D laser-based sensor for robotics11 citations · 2002
- 5ISRobotCar: The autonomous electric vehicle project10 citations · 2012
- 6Education with Robots Inspired in Biological Systems9 citations · 2018
- 7Bluetooth low energy profile for MPU9150 IMU data transfers6 citations · 2017
- 8Project-Based Learning Methodology for Robotics Education2 citations · 2019