Matilde Santos

About

Matilde Santos is a prominent researcher whose work spans intelligent control systems, autonomous mobile robotics, and bio-inspired computational methods. Her scholarship bridges theoretical foundations and real-world engineering challenges, with a particular focus on making complex systems smarter and more adaptive. Santos's most influential contribution, "Un Enfoque Aplicado del Control Inteligente" (2011, 63 citations), demonstrates how intelligent control techniques — including fuzzy logic and neural networks — can solve demanding real-world control problems, often outperforming classical approaches alone. This foundational work established her as a leading voice in applied intelligent control. Her research on neuro-evolutionary controllers for multi-link robots further showcased her expertise in combining machine learning with robotics kinematics. A significant thread of her recent work centers on Automated Guided Vehicles (AGVs) and Industry 4.0 applications, producing notable contributions in mechatronic modeling, fuzzy-genetic optimization, and trajectory planning. Her 2022 paper on bio-inspired UV-C disinfection path planning demonstrated timely innovation in response to the COVID-19 pandemic. More recently, she has advanced metaheuristic optimization methods — including genetic algorithms and particle swarm optimization — for autonomous surveillance and logistics robots. With over 190 cumulative citations across diverse cutting-edge topics, Santos represents a dynamic force connecting artificial intelligence, evolutionary computation, and autonomous systems engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Un Enfoque Aplicado del Control Inteligente

   63 citations · 2011
2. 2
   A method to learn the inverse kinematics of multi-link robots by evolving neuro-controllers

   31 citations · 2009
3. 3
   Mechatronic Modelling of Industrial AGVs: A Complex System Architecture

   28 citations · 2020
4. 4
   Glasius bio-inspired neural networks based UV-C disinfection path planning improved by preventive deadlock processing algorithm

   21 citations · 2022
5. 5
   Evolutive Tuning Optimization of a PID Controller for Autonomous Path-Following Robot

   14 citations · 2021
6. 6
   Development and Experimental Validation of Control Algorithm for Person-Following Autonomous Robots

   13 citations · 2023
7. 7
   Path Optimization Using Metaheuristic Techniques for a Surveillance Robot

   10 citations · 2023
8. 8
   In search of the best fitness function for optimum generation of trajectories for Automated Guided Vehicles

   8 citations · 2024
9. 9
   Evolution of Neuro-controllers for Multi-link Robots

   6 citations · 2007
10. 10
    AGV fuzzy control optimized by genetic algorithms

    5 citations · 2024

Key Collaborators

Contact & Links