Papers
10
Total Citations
63
H-Index
4
About
Pedro Fonseca is a researcher whose work sits at the intersection of mobile robotics, computer vision, and engineering education. His most significant contributions lie in developing deep learning-based vision systems for autonomous robots, particularly floor-cleaning robots and industrial Automated Guided Vehicles (AGVs). His 2021 paper on a dirt detection system for cleaning robots, which has garnered 19 citations, demonstrates his ability to apply cutting-edge AI to practical, real-world challenges. Fonseca has also advanced visual navigation in unstructured environments through Data Matrix landmark detection using deep learning. Beyond technical innovation, he is deeply committed to pedagogy. He co-founded the Micro-Rato Contest at the University of Aveiro, a pioneering robotics competition that has, for over two decades, inspired hundreds of students to engage with electronics and computer science through hands-on robot building. His work on this contest, alongside papers on using mobile robots to teach first-year engineering, highlights his dedication to making robotics accessible as a learning tool. With a portfolio that spans from technical contributions in vision and localization to impactful educational initiatives, Fonseca has shaped both the technology and the next generation of roboticists.
Research Focus
Key Achievements
Top Papers
- 1
- 2Comparing control strategies for autonomous line-tracking robots12 citations · 2002
- 3
- 4
- 5The Micro-Rato Contest: Mobile Robotics for All4 citations · 2000
- 6CAMBADA'2013: Team Description Paper3 citations · 2013
- 7
- 8A Validation Framework for Visible Light Positioning in Mobile Robotics3 citations · 2016
- 9Mobile Robots as a Tool to Teach First Year Engineering Electronics2 citations · 2017
- 10An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv52 citations · 2022