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Researchers from MIT CSAIL and Tianjin University propose the X-Hinges design software

1 reports1 story updatesUpdated Oct 23 04:45

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Researchers from MIT CSAIL and Tianjin University propose the X-Hinges design software, which lets users customize shapes and motion patterns; the software automatically embeds two different materials to fabricate sensors and wires respectively, avoiding signal interference with each other. The tool supports motion in three directions: compression, up-down, and left-right. The research team used it to make a glove that teaches a robot to grasp, a small lamp that dims by pinching, and a device that can recognize placed objects. The research team will present the results at the ACM UIST conference in early November; currently the circuit layout of each printed item differs slightly and requires recalibration with the help of a computer vision system.

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MIT CSAIL and Tianjin University launch X-Hinges design software, enabling 3D printing of self-sensing objects with built-in sensors

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  1. MIT CSAIL and Tianjin University researchers propose X-Hinges design software

    Source:MIT News · Artificial Intelligence

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Oct 23

  1. MIT News · Artificial Intelligence

    MIT CSAIL and Tianjin University launch X-Hinges design software, enabling 3D printing of self-sensing objects with built-in sensors

    Researchers at MIT CSAIL and Tianjin University have developed the X-Hinges design software, which lets users customize shapes and motion patterns; the software automatically embeds two different materials to separately fabricate sensors and conductive traces, avoiding signal interference. The tool supports motion in three directions—compression, up-down, and left-right—and was used to create a glove that can teach a robot to grasp, a small lamp that dims via pinching, and a device that can recognize placed objects. The research team will present the results at the ACM UIST conference in early November; currently, the circuit layout of each printed item differs slightly and requires recalibration using a computer vision system.

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