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      • Swarming MAV Networks II
      • Flight Control in Complex Environments: From Insects to Robots
      • Joint Evolution of Dispersal and Altruism
      • Darwinian Neurodynamics
      • Collective behavior of plant inspired robots
      • Sensorymotor tissues for soft robots
      • Adaptive Morphology for Multi-Modal Locomotion
      • Synergistic Interactions in Swarms of Heterogenous Agents
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    Completed research projects


    Reverse Engineering Olfactory Behavior


    Division of Labour II


    Reverse Engineering of the Drosophila Wing


    Evolution of Communication II


    Vision-based Microflyers


    Evolution


    Communication


    Division of Labour


    Eyebot


    Swarming MAV Networks


    Self Deploying Microglider


    Body Sensing


    Active Vision


    Cooperation


    Vision-based Flying Robots


    Electronic Tissues


    Adaptation


    Spiking Circuits


    Learning


    Swarm-Bots

    Secondary navigation

    • Seminars
    • Projects
      • Swarming MAV Networks II
      • Flight Control in Complex Environments: From Insects to Robots
      • Joint Evolution of Dispersal and Altruism
      • Darwinian Neurodynamics
      • Collective behavior of plant inspired robots
      • Sensorymotor tissues for soft robots
      • Adaptive Morphology for Multi-Modal Locomotion
      • Synergistic Interactions in Swarms of Heterogenous Agents
      • Personal Aerial Transportation Systems
      • Soft Modular Robots
      • Robust Flight in Cluttered Indoor Environments
      • Audio-based Swarming MAVs
      • Curved Artificial Compound Eyes
      • Viability Evolution
        • VIE
        • mVIE
    • Completed research projects
      • Evolution of Communication
      • Reverse Engineering of the Drosophilia Wing
        • GeneNetWeaver (GNW)
        • sQuid
        • libSDE
        • Jmod
      • Division of Labour
      • Reverse Engineering Olfactory Behavior
        • FBI

    Research fields

    • Biology
      Study the evolution of biological systems using artificial evolution and robotic platforms in collaboration with biologists.
       
    • Robotics
      Create the next generation of flying, jumping and climbing robots using inspiration from biology.
       
    • Artificial Intelligence
      Study the learning and adaptation processes in the brain and apply them to the design of neural controllers for robots and the reverse-engineering of gene networks.

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