rafael@csic: ~/swarm — flock.sh

$ whoami

Rafael Sendra-Arranz

// Postdoctoral Researcher · Biorobotics · CSIC

  • [ Swarm Robotics ]
  • [ Evolutionary Computation ]
  • [ Deep Learning ]
  • [ Machine Learning ]
  • [ Large Language Models ]
  • [ Time Series Forecasting ]

↑ live boids flock — alignment · cohesion · separation · follows your cursor

about

Who I am

rafael.jpg
Rafael Sendra-Arranz

Inspired by how swarms of animals behave in nature, my research focuses on the emergence and origins of automatic communication among robots, in the fields of Swarm Robotics and Evolutionary Robotics.

In 2022 I did a four-month research stay at the Biorobotics department of the University of Southern Denmark, where I discovered new techniques and computational paradigms for efficient and explainable swarm-robotics communication — an inflexion point for my PhD research. I have also worked on time-series forecasting using deep-learning models.

I completed my PhD in Communication Technologies and Systems at the Universidad Politécnica de Madrid in 2025, with a dissertation on the emergence of transferable communication in swarm robotics: from signalling towards language.

education

Academic background

  1. 2021 – 2025

    PhD in Communication Technologies and Systems

    Universidad Politécnica de Madrid

    Thesis: “Emergence of transferable communication in swarm robotics: from signalling towards language.”

  2. 2021 – 2022

    MSc in Signal Theory and Communications

    Universidad Politécnica de Madrid

    Specialization in signal processing and machine learning for big data.

  3. 2019 – 2022

    MSc in Telecommunication Engineering

    Universidad Politécnica de Madrid

  4. 2013 – 2018

    BEng in Telecommunication Technologies and Services Engineering

    Universidad Politécnica de Madrid

publications

Selected work

  1. R. Sendra-Arranz, I. Dellibarda Varela, E. Rocon, Á. Gutiérrez, M. Cebrian

    arXiv:2607.22591 (cs.AI)Preprintjournal ↗github
  2. I. Dellibarda Varela, R. Sendra-Arranz, P. Romero-Sorozabal, J. M. Valverde-García, A. F. Laudanski, Á. Gutiérrez, E. Rocon, M. Cebrian

    arXiv:2606.02282 (cs.AI)Preprintjournal ↗github ↗
  3. R. Sendra-Arranz, Á. Gutiérrez

    Applied Soft ComputingJournaljournal ↗github
  4. 2026

    Evolution of Transferable and Self-Organized Communication Modules for Solving Multiple Swarm Robotics Tasks

    R. Sendra-Arranz, Á. Gutiérrez, A. L. Christensen

    IEEE Transactions on CyberneticsJournaljournal ↗github
  5. 2025

    Emergence of flocking behaviors transferring previously evolved alignment robot controllers

    R. Sendra-Arranz, Á. Gutiérrez

    Evolving SystemsJournaljournal ↗github
  6. 2023

    Emergence of Communication Through Artificial Evolution in an Orientation Consensus Task in Swarm Robotics

    R. Sendra-Arranz, Á. Gutiérrez

    AIAI 2023 · IFIP AICT (Springer)Conferencejournal ↗github
  7. 2023

    Classification of Kinematic and Electromyographic Signals Associated with Pathological Tremor Using Machine and Deep Learning

    A. Pascual-Valdunciel, V. Lopo-Martínez, A. J. Beltrán-Carrero, R. Sendra-Arranz, et al.

    EntropyJournaljournal ↗github
  8. 2022

    Prediction of Pathological Tremor Signals Using Long Short-Term Memory Neural Networks

    A. Pascual-Valdunciel, V. Lopo-Martínez, R. Sendra-Arranz, et al.

    IEEE Journal of Biomedical and Health InformaticsJournaljournal ↗github
  9. 2021

    Evolution of Situated and Abstract Communication in Leader Selection and Borderline Identification Swarm Robotics Problems

    R. Sendra-Arranz, Á. Gutiérrez

    Applied SciencesJournaljournal ↗github
  10. 2021

    Long short-term memory neural network for glucose prediction

    J. Carrillo-Moreno, C. Pérez-Gandía, R. Sendra-Arranz, G. García-Sáez, M. E. Hernando, Á. Gutiérrez

    Neural Computing and ApplicationsJournaljournal ↗github
  11. 2020

    Monitorization and statistical analysis of south and west green walls in a retrofitted building in Madrid

    R. Sendra-Arranz, V. Oquendo, L. Olivieri, F. Olivieri, C. Bedoya, Á. Gutiérrez

    Building and EnvironmentJournaljournal ↗github
  12. 2020

    A long short-term memory artificial neural network to predict daily HVAC consumption in buildings

    R. Sendra-Arranz, Á. Gutiérrez

    Energy and BuildingsJournaljournal ↗github