Dr. Pablo Lanillos

Picture of Pablo Lanillos Pradas

Dr. Pablo Lanillos Pradas

Technical University of Munich

Chair of Cognitive Systems (Prof. Cheng)

Research Interests

Short Bio

Dr. Pablo Lanillos is a postdoctoral researcher at the Chair for Cognitive Systems (ICS) granted with a TUM University Foundation Fellowship. He received his Ph.D. degree (summa cum laude) in computer engineering, specialization robotics in July 2013 from Complutense University of Madrid (UCM), Spain. In 2006 he joined the Department of Computer Architecture and Automatic Control, UCM, and as a PhD candidate he has been a visiting researcher at the Aerospace Control Laboratory (ACL), Massachusetts Institute of Technology; the Artificial Intelligence Laboratory (LIA), École Polytechnique Fédérale de Lausanne; and the Australian Centre for Field Robotics (ACFR), University of Sydney. He was member of the Spanish Government funded projects: “System for surveillance, search and rescue in the sea by means of collaboration of autonomous marine and air vehicles” and “Planning, simulation and control platform for multiple aerial and marine vehicles cooperation”. Prior to joining TUM, he was a postdoctoral researcher at the Institute of Systems and Robotics (ISR), University of Coimbra, within the scope of CASIR project: Coordinated Attention for Social Interaction with Robots.


I am interested in designing aware and socially-aware robots by means of embodied perception and action. My research is focused on mimicking some neurophysiology functionalities of the human brain to develop computational models that will enable artificial systems with new cognitive capabilities (e.g., integrating bottom-up and top-down modulation into multisensory robotic platforms). Furthermore, I am also fascinated by the idea of elaborating probabilistic reasoning models that could handle attention, awareness or even the intentional state of the machine and its interlocutors.

  • Human-robot interaction
  • Cognitive robotics
  • Neuro-inspired and embodied perception
  • Artificial attention
  • Probabilistic decision making and logical reasoning
  • Bayesian search
  • Autonomous robots coordination
  • Information fusion

More on his private website www.therobotdecision.com



  • Mohsen Kaboli, Di Feng, Kunpeng Yao, Pablo Lanillos, Gordon Cheng: A Tactile-based Framework for Active Object Learning and Discrimination using Multi-modal Robotic Skin. IEEE Robotics and Automation Letters 2 (4), 2017, 2143-2150 mehr… BibTeX Volltext (mediaTUM)
  • Pablo Lanillos, Emmanuel Dean-Leon and Gordon Cheng: Enactive Self: a study of engineering perspectives to obtain the sensorimotor self through enaction. IEEE International Conference on Developmental Learning and Epigenetic Robotics , 2017 mehr… BibTeX Volltext (mediaTUM)
  • Pablo Lanillos, João Filipe Ferreira and Jorge Dias: A Bayesian hierarchy for robust gaze estimation in human–robot interaction. International Journal of Approximate Reasoning, 2017, 1-22 mehr… BibTeX


  • E. Dean, K. Ramirez-Amaro, F. Bergner, I. Dianov, P. Lanillos, and G. Cheng: Robotic technologies for fast deployment of industrial robot systems. IEEE Industrial Electronics Conference (IEEE IECON2016), 2016 mehr… BibTeX Volltext (mediaTUM)
  • Pablo Lanillos and Gordon Cheng: Robots with self-perception: objects discovery and scene disambiguation using visual, proprioceptive and tactile cues correlation during interaction. Robotics in the 21st century: Challenges and Promises International Workshop (funded by the Volkswagen Foundation and the HeKKSaGOn Network) 2016 mehr… BibTeX
  • Pablo Lanillos, Emmanuel Dean-Leon and Gordon Cheng: Yielding self-perception in robots through sensorimotor contingencies. IEEE Transactions on Cognitive and Developmental Systems, 2016 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Pablo Lanillos, Emmanuel Dean-Leon and Gordon Cheng: Multisensory Object Discovery via Self-detection and Artificial Attention. IEEE International Conference on Developmental Learning and Epigenetic Robotics , 2016 mehr… BibTeX Volltext (mediaTUM)
  • llya Dianov, Karinne Ramirez-Amaro, Pablo Lanillos, Emmanuel Dean-Leon, Florian Bergner and Gordon Cheng: Extracting general task structures to accelerate the learning of new tasks. IEEE-RAS International Conference on Humanoid Robots 2016 , 2016 mehr… BibTeX Volltext (mediaTUM)