Vancea vasile swarm intelligence


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Vasile Vancea

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Vancea vasile swarm intelligence

  1. 1. Swarm Intelligence ~ Swarm Robotics ~ Vasile Vancea Universidad Politécnica de Madrid (UPM) TÉCNICAS DE INTELIGENCIA ARTIFICIAL APLICADAS A PROCESAMIENTO DE SEÑAL
  2. 2. Intro <ul><li>What is S warm I ntelligence ? </li></ul><ul><li>What is S warm R obotics ? </li></ul><ul><li>Why Swarm in AI field? </li></ul><ul><li>E xperiment ( partial ) </li></ul><ul><li>C onclusions </li></ul>Vasile Vancea
  3. 3. What is S warm I ntelligence ? I Swarm Behavior Properties: - Many Individuals - Homogeneous - Exchange INFO directly or via the environment - Self-Organized Group Behavior Vasile Vancea
  4. 4. What is S warm I ntelligence ? II Source : Google/Images Biological Swarms Vasile Vancea
  5. 5. What is S warm I ntelligence ? III Collective problem solving by ants Algorithms Vasile Vancea Travelling Salesman Problem ( TSP ) 1 2 3 Bird flocks and Fish schools Cohesion Separation Alignment Auteur :  Johann Dréo Boid’s experiment [7]
  6. 6. What is S warm I ntelligence ? IV <ul><li>Optimization </li></ul><ul><li>Robotics </li></ul><ul><li>Network Management </li></ul><ul><li>Traffic Patterns in transportation systems </li></ul><ul><li>Medical Applications </li></ul><ul><li>Military Applications </li></ul>Applications From ant’s world to our world Vasile Vancea
  7. 7. What is S warm R obotics ? I Swarms of Robots Vasile Vancea Artificial Swarm Intelligence Multi-robot system Simple physical robots Collective Behavior Local Communication Their behavior is often driven by local interactions.
  8. 8. What is S warm R obotics ? II Flyfire swarm from MIT [1] Examples I Fleet of drones to explore the ocean by AUE ( The Autonomous Underwater Explorers) [2] Vasile Vancea ARES Ingestible Surgical Robots [3] Source :
  9. 9. What is S warm R obotics ? III E-puck robots Ecole Polytechnique Federale de Lausanne [4] Symbrion The University of the West of England [5] Examples I I Examples I Vasile Vancea I-Swarm Micro Robots [6] Source :
  10. 10. Why SI ? <ul><li>Intelligent = must be able to learn about their world and develop their own ability to interact with it [8] . </li></ul><ul><li>Groups are powerful [9] </li></ul><ul><ul><ul><li>Less complicated agents. </li></ul></ul></ul><ul><ul><ul><li>Many individuals - Division of labor. </li></ul></ul></ul><ul><ul><ul><li>More effective - Safety in numbers. </li></ul></ul></ul><ul><ul><ul><li>Coordinating movements . </li></ul></ul></ul><ul><ul><ul><li>Decrease of energy consumption. </li></ul></ul></ul><ul><li>Cheaper (“each termite is simple, each termite is </li></ul><ul><li>cheap, each termite is expendable”). </li></ul>Vasile Vancea Source : google/images
  11. 11. Experiment I Vasile Vancea Hardware I
  12. 12. Experiment II Vasile Vancea Hardware I I
  13. 13. Conclusions <ul><li>The artificial robotic organisms might in theory become self-configuring , self-healing , and self-optimizing from both hardware and software perspectives. </li></ul><ul><li>Long-term evolution of robotic organisms applied to software, hardware, topology and functionality of artificial organisms . </li></ul><ul><li>Self-maintenance and self-optimization . </li></ul><ul><li>Super-large-scale - capable of autonomous adapting to highly dynamic and open environments. </li></ul>Vasile Vancea
  14. 14. Bibliography <ul><li>[1] </li></ul><ul><li>[2] </li></ul><ul><li>[3] </li></ul><ul><li>[4] </li></ul><ul><li>[5] </li></ul><ul><li>[6] </li></ul><ul><li>[7] </li></ul><ul><li>[8] </li></ul><ul><li>[9] </li></ul><ul><li>[10] Lynne E. Parker, “Distributed Intelligence: Overview of the Field and its Application in Multi-Robot Systems”, Journal of Physical Agents, vol.2, no. 1, March 2008 </li></ul><ul><li>[11] Aleksandar Jevti ć ,Diego Andina , “ Swarm Intelligence and Its Applications in Swarm Robotics ”, 6th WSEAS Int. Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, Tenerife, Spain, December 14-16, 2007 </li></ul>Vasile Vancea
  15. 15. Thank You Source : Google Images Vasile Vancea