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Thread: Miscellaneous

  1. #31


    Thinking and acting swarmish: towards intuitive control of robotic swarms

    Published on Aug 16, 2017

  2. #32


    Swarm Robotics podcast

    Published on Aug 20, 2017

  3. #33

  4. #34


    Robots evenly distribution algorithm in action

    Published on Oct 2, 2017

  5. #35


    Swarm robotics

    Published on Oct 3, 2017

    A 4th year BE and 3rd year BEng Tech project at Auckland University of Technology School of Engineering,Computing and Mathematical Sciences. Electrical and Electronic Engineering Department. The robots can dock and re-charge themselves.

  6. #36


    What intelligent machines can learn from a school of fish | Radhika Nagpal

    Published on Oct 6, 2017

    Science fiction visions of the future show us AI built to replicate our way of thinking -- but what if we modeled it instead on the other kinds of intelligence found in nature? Robotics engineer Radhika Nagpal studies the collective intelligence displayed by insects and fish schools, seeking to understand their rules of engagement. In a visionary talk, she presents her work creating artificial collective power and previews a future where swarms of robots work together to build flood barriers, pollinate crops, monitor coral reefs and form constellations of satellites.

  7. #37


    Published on Oct 12, 2017

    While people often think about swarms as simply being large collections of robots, swarms, in fact, have five defining characteristics: number, agent complexity, collective complexity, heterogeneity, and human-swarm interaction. DARPA's OFFensive Swarm-Enabled Tactics (OFFSET) program will explore these characteristics as it seeks to develop and demonstrate operationally relevant swarm tactics that could be used by groups of unmanned air and/or ground systems numbering more than 250 robots. These swarm tactics for large teams of unmanned assets would help improve force protection, firepower, precision effects, and intelligence, surveillance, and reconnaissance (ISR) capabilities.

  8. #38

  9. #39


    Morphogenesis in robot swarms

    Published on Dec 19, 2018

    Morphogenesis allows millions of cells to self-organize into intricate structures with a wide variety of functional shapes during embryonic development. This process emerges from local interactions of cells under the control of gene circuits that are identical in every cell, robust to intrinsic noise, and adaptable to changing environments. Constructing human technology with these properties presents an important opportunity in swarm robotic applications ranging from construction to exploration. Morphogenesis in nature may use two different approaches: hierarchical, top-down control or spontaneously self-organizing dynamics such as reaction-diffusion Turing patterns. Here, we provide a demonstration of purely self-organizing behaviors to create emergent morphologies in large
    swarms of real robots. The robots achieve this collective organization without any self-localization and instead rely entirely on local interactions with neighbors. Results show swarms of 300 robots that self-construct organic and adaptable shapes that are robust to damage. This is a step toward the emergence of functional shape formation
    in robot swarms following principles of self-organized morphogenetic engineering.

    Read the paper:
    Slavkov, I., Zapata D. C. et al., Science Robotics (2018)

    Reprinted with permission from Slavkov, I., Zapata D. C. et al., Science Robotics (2018).
    "Growing bio-inspired shapes with a 300-robot swarm"

    by Sabine Hauert
    December 19, 2018

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