Fernando Carreira

About

Fernando Carreira is a robotics researcher whose work spans mobile robot navigation, autonomous localization, and service robotics — with particular emphasis on practical applications in healthcare and industrial environments. His most recognized contribution is the i-Merc project (2006, 39 citations), a dedicated mobile robot designed to transport meals within hospitals and healthcare centers while maintaining food temperature, demonstrating an early commitment to deploying robotics in real-world service contexts. A significant thread throughout Carreira's career is the development of PCA-based localization systems for mobile robots operating in unstructured environments — settings without artificial beacons or environmental modifications. His series of papers on this topic, spanning 2012 to 2018, progressively refined the approach through Bayesian filtering, depth map integration with missing data handling, and full navigation system validation using ceiling-mounted depth cameras and Voronoi-based roadmaps, collectively accumulating nearly 35 citations. His broader contributions include multi-robot middleware frameworks, sensor fusion for attitude estimation, and more recently, collaborative industrial robotics and photorealistic digital twins for robotic systems. Carreira's work consistently bridges theoretical innovation with experimental validation, making him a valuable voice in applied robotics research for both service and industrial domains.

Research Focus

Key Achievements

Top Papers

1. 1
   i-Merc: A Mobile Robot to Deliver Meals inside Health Services

   39 citations · 2006
2. 2
   Enhanced PCA-Based Localization Using Depth Maps with Missing Data

   14 citations · 2014
3. 3
   2D PCA-based localization for mobile robots in unstructured environments

   10 citations · 2012
4. 4
   Exploiting the FAMOUSO middleware in multi-robot application development with Matlab/Simulink

   8 citations · 2008
5. 5
   Complementary Filter Design with Three Frequency Bands: Robot Attitude Estimation

   5 citations · 2015
6. 6
   A Bayesian grid method PCA-based for mobile robots localization in unstructured environments

   5 citations · 2013
7. 7
   Sentient Objects for Designing and Controlling Service Robots

   5 citations · 2008
8. 8
   Navigation System for Mobile Robots Using PCA-Based Localization from Ceiling Depth Images: Experimental Validation

   4 citations · 2018
9. 9
   Industrial Collaborative Robotics Platform

   3 citations · 2021
10. 10
    A Photorealistic Digital Twin for a Tank Truck Washing Robotic System

    3 citations · 2022

Key Collaborators

Contact & Links