Roberto Iglesias

About

Roberto Iglesias is a prominent researcher whose work spans artificial intelligence, mobile robotics, and machine learning, with particular expertise in intelligent systems and human-robot interaction. His most cited contribution, "Artificial Intelligence within the Interplay between Natural and Artificial Computation" (2020, 312 citations), provides a sweeping synthesis of advances in data science, machine and deep learning, and their societal implications — establishing him as a leading voice in the broader AI research community. His work on federated and continual learning (2021, 72 citations) addresses critical challenges in deploying adaptive machine learning models on smart devices, tackling the important problem of concept drift in real-world environments. Iglesias has also made lasting contributions to autonomous robotics, developing fuzzy temporal rule-based systems for mobile robot navigation in dynamic environments — work that began in the early 2000s and remains influential today. His research on person-following behavior, multi-sensor robot localization fusing laser, WiFi, and camera data, and gesture-based interaction for tour-guide robots demonstrates a sustained commitment to practical, human-centered robotics. Across more than two decades, his interdisciplinary research bridges theoretical AI innovation with real-world robotic applications, making him a significant figure in intelligent autonomous systems research.

Research Focus

Key Achievements

Top Papers

1. 1
   Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

   312 citations · 2020
2. 2
   Concept drift detection and adaptation for federated and continual learning

   72 citations · 2021
3. 3
   Feature analysis for human recognition and discrimination: Application to a person-following behaviour in a mobile robot

   48 citations · 2012
4. 4
   Particle filter robot localisation through robust fusion of laser, WiFi, compass, and a network of external cameras

   48 citations · 2015
5. 5
   Gesture-based interaction with voice feedback for a tour-guide robot

   42 citations · 2013
6. 6
   A fuzzy temporal rule-based velocity controller for mobile robotics

   36 citations · 2003
7. 7
   Fuzzy temporal rules for mobile robot guidance in dynamic environments

   34 citations · 2001
8. 8
   Autonomous and fast robot learning through motivation

   23 citations · 2007
9. 9
   Route learning and reproduction in a tour-guide robot

   19 citations · 2014
10. 10
    Visual task identification and characterization using polynomial models

    16 citations · 2007

Key Collaborators

Contact & Links