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Thread: Miscellaneous

  1. #41

    Eciton robotica: Design and Algorithms for an Adaptive Self-Assembling Soft Robot Collective

    Mar 4, 2020

    This video accompanies the paper of the same name published at ICRA 2020.

    Inspired by the bridges and bivouacs formed by army ants, we designed a hardware system Eciton robotica, composed of soft, flexible robots that climb over and attach to each other to assemble structures. The robots use a simple local rule: they stop and become a “bridge” when stepped on. Robots in hardware know they are stepped on by sensing a vibration pulse. Using this local rule, robots in simulation are able to self-assemble structures that adapt to traffic levels and terrain.

  2. #42

    SwarmRail: a novel overhead robot system for indoor transport and mobile manipulation

    Jun 10, 2020

    SwarmRail represents a novel solution to overhead manipulation from a mobile unit that drives in an above ground rail-structure. The concept is based on the combination of omnidirectional mobile platform and L-shaped rail profiles that form a through-going central gap. This gap makes possible mounting a robotic manipulator arm overhead at the underside of the mobile platform. Compared to existing solutions, SwarmRail enables continuous overhead manipulation while traversing rail
    crossings. It also can be operated in a robot swarm, as it allows for concurrent operation of a group of mobile SwarmRail units inside a single rail network. Experiments on a first functional demonstrator confirm the functional capability of the concept. Potential fields of applications reach from industry over logistics to vertical farming.

  3. #43

    Collective worm and robot "blobs" protect individuals, swarm together

    Feb 11, 2021

    Researchers at Georgia Tech are studying the collective behaviors of the California blackworm and applying the worm blob movement principles to swarm robotics.
    Saad Bhamla

  4. #44

    Drone swarms avoid obstacles without collision

    May 18, 2021

    Engineers at EPFL have developed a predictive control model that allows swarms of drones to fly in cluttered environments quickly and safely. It works by enabling individual drones to predict their own behavior and that of their neighbors in the swarm.
    Enrica Soria

    "Watch a Drone Swarm Fly Through a Fake Forest Without Crashing"
    Each copter doesn’t just track where the others are. It constantly predicts where they’ll go.

    by Max Levy
    June 9, 2021

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