Granulobot: a modular and morphable robotic platform

Inventor(s):

    SUMMARY

    • The development of autonomous and efficient agents that can adapt to a variety of environments and perform different functions by reconfiguring their body is one of the frontiers in the field of robotics. There is an increasing need for systems that offer multi-functional, self-assembling, highly compliant capabilities in concert with resilience and robustness.

    • To this end, while traditional robotic design tends to distinguish and separate components dealing with sensing, actuation, computation, and communication, an alternative strategy distributes components that each integrate these functions.

    • The faculty inventor introduces the Granulobot, a modular system that blurs the distinction between soft, modular and swarm robotics.  The system consists of gear-leak units that each contain a single actuator such that units can self-assemble into larger, granular aggregates using magnetic coupling.  These aggregates can reconfigure dynamically and also split up into subsystems that might later recombine.

    • Aggregates can self-organize into collective states with solid- and liquid-like properties.  These states can be perturbed locally via actuators or externally via mechanical feedback from the environment to produce adaptive shape shifting in a decentralized manner generating locomotion strategies adapted to different conditions.

    • Aggregates can move over obstacles without using external sensors or coordinate to maintain a steady gait over different surfaces without electronic communication among units.

    FIGURE

     

    ADVANTAGES

    ADVANTAGES

    • Fully decentralized design

    • Real-time shape shifting

    • Ability to switch from stiff to soft behaviors

    APPLICATIONS

    • Robotic systems with more adaptability to the environment

    • Field exploration in extreme conditions (space, catastrophe management, underground, etc.)

     

    PUBLICATIONS

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    TECH DETAILS

    Published
    8/4/2023

    Reference ID
    22-T-106

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    Michael Hinton

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