Bright Machines has been granted a patent for an object attachment handler that uses a configurable gripper and fastening tool, controlled by software definitions of the object. The system ensures precise attachment by applying defined force curves at specific positions. GlobalData’s report on Bright Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Bright Machines, Pose estimation was a key innovation area identified from patents. Bright Machines's grant share as of April 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Automated object attachment system with configurable gripper and fastening tool
A recently granted patent (Publication Number: US11919148B2) discloses an object attachment handler that includes a memory with a software definition of an object, a configurable gripper, and a control system to configure the gripper based on the software definition. The gripper is equipped with jaws that can be individually defined for open and closed positions, allowing for precise object manipulation. Additionally, the handler features a fastening tool with motors providing three degrees of movement, enabling alignment with an object's attachment mechanism for secure attachment.
Furthermore, the object attachment handler incorporates a fastening tool with a hammer for attaching objects using various mechanisms such as press fit, push pin, rivet, snap-on, and through hole. The system also includes a user interface with a scanner to identify objects and a database providing relevant data. The handler's fastening tool can be automatically configured by the control system to attach objects to a workpiece based on the object configuration stored in memory. This innovative technology streamlines the attachment process by automatically adjusting the gripper and fastening tool without the need for user intervention, enhancing efficiency and accuracy in object handling and attachment tasks.
To know more about GlobalData’s detailed insights on Bright Machines, buy the report here.
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