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Sliding sensor using fiber Bragg grating for mechanical fingers.

Muyun Qian, Youlong Yu, Naikui Ren

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    Summary
    This summary is machine-generated.

    A novel fiber Bragg grating (FBG) sliding sensor allows mechanical fingers to achieve soft grasping. This FBG sensor offers high sensitivity for detecting object contact states, enhancing robotic manipulation.

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    Area of Science:

    • Robotics
    • Materials Science
    • Sensor Technology

    Background:

    • Mechanical fingers require advanced sensing for delicate object manipulation.
    • Sliding sensation is crucial for soft grasping in robotic applications.
    • Fiber Bragg Grating (FBG) sensors offer potential for embedded sensing solutions.

    Purpose of the Study:

    • To propose and analyze a novel sliding sensor based on Fiber Bragg Grating (FBG) for soft grasping in mechanical fingers.
    • To investigate the structural design and sliding sensation mechanism of the FBG sensor.
    • To evaluate the performance and signal processing of the developed sensor.

    Main Methods:

    • Structural design and finite element simulation of the FBG sliding sensor.
    • Experimental investigation of the sensor's static and dynamic performance.
    • Fuzzy logic-based processing of sensor signals.

    Main Results:

    • The FBG sliding sensor exhibits a simple structure and high sensitivity.
    • The sensor reliably detects the contact state of a target object.
    • Finite element simulations validated the sensor's design and mechanism.

    Conclusions:

    • The developed FBG sliding sensor provides a viable design scheme for robotic soft grasping.
    • The sensor's ability to detect contact states enhances the dexterity of mechanical fingers.
    • This technology contributes to the advancement of tactile sensing in robotics.