Embodied Intelligence in Natural and Artificial Physical Agents

Description

The “Embodied Intelligence in Natural and Artificial Physical Agents” WG investigates the concepts of embodied intelligence, morphological computation, simplexity, and evolutionary and developmental approaches.

The morphology and the mechanical properties of the physical body of future robots can be exploited to simplify control, because adaptive behaviour can be more than just control and computation, but it can emerge from the multi-scale complex and dynamic interaction between the morphology of the body, sensory-motor information flow, orchestrated control, and environment. This is a highly interdisciplinary field that joins the competencies and visions of researchers from different areas, such as engineering, computer science, biology, neuroscience, biomechanics, material science, linguistics, philosophy and psychology.

Close cooperation of this WG1 – Embodied Intelligence in Natural and Artificial Physical Agents with WG2 – Soft Robotics and Bodyware, and with WG3 – “Energy Management in Natural and Artificial Agents” will be established in order to better identify the needs of future robot in terms of material and energy.

List of topics

  • Modelling of Systems Integrating Rigid and Compliant Sub-Systems and Components
  • AI Agents for Robots
  • Control of Systems Integrating Rigid and Compliant Sub-Systems and Components
  • Computational Foundations of Action
  • Morphological Computation
  • Design Principles
  • System Biology Vs Robotics Models
  • Neurorobotics, Neuroscience and Robotics
  • Embodied Social Intelligence
  • Bioinspired Perception and Control
  • Learning in Physical Agents (Robots, Animals, Plants)
  • Collective Behaviour (Robot Networks and Swarms, Bird Flocks, ant Colonies, Facebook Trending, Slime Moulds, Coral)
  • Human-Like Robot Behaviour
  • Remote Brain Concept in Robotics
  • Working Group 1 Board (WG1B)

    Working Group 1 Experts

    • Dario Floreano
    Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
    • Philippe Souères
    Centre National de la Recherche Scientifique/LAAS (CNRSLAAS), France
    • Barbara Mazzolai
    Istituto Italiano di Tecnologia (IIT), Italy
    • Giulio Sandini
    Istituto Italiano di Tecnologia (IIT), Italy
    • Ivan Marković
    University of Zagreb, Faculty of Electrical Engineering and Computing (UNIZG-FER), Croatia
    •  Stjepan Bogdan
    University of Zagreb, Faculty of Electrical Engineering and Computing (UNIZG-FER), Croatia
    • Agris Nikitenko
    Riga Technical University/Dept. Artificial Intelligence and Systems Engineering (RTU), Latvia
    • Alina Itu
    Universitatea Transilvania Brasov/ Department of

    Automation and Information Technology (UTBV), Romania

    • Libor Preucil
    Czech Technical University, Czech Institute of Informatics, Robotics and Cybernetic (CTU),Czech Republic
    • Alberto Sanfeliu
    Universitat Politecinca de Catalunya /Institut de Robotica i Informatica Industrial (UPC-IRI), Spain
    • Peter Sincak
    Technical University of Kosice, Slovakia, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence, Centre for Intelligent technologies (TUK)
    • Stefano Stramigioli
    University of Twente (UTW), The Netherlands
    • Anibal Ollero
    Universidad de Sevilla, The Robotics, Vision and Control Group (GRVC), Spain
    • Chris Melhuish
    Bristol Robotics Laboratory (BRL), University of the West of England (UWE), United Kingdom
    • Manuel Giuliani
    Bristol Robotics Laboratory (BRL), University of the West of England (UWE), United Kingdom
    • Marco Dorigo
    Université Libre de Bruxelles/ IRIDIA (ULB), Belgium