Azenta had ten patents in robotics during Q4 2023. Azenta Inc filed 3 patents in Robotics theme during Q4 2023. Azenta Inc has developed an automatic teaching system and a substrate processing apparatus with advanced features such as machine vision system, movable transport arm, and independent extension and rotation of arms for efficient substrate processing. GlobalData’s report on Azenta gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Azenta grant share with robotics as a theme is 70% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Automated teach apparatus for robotic systems and method therefor (Patent ID: US20230343626A1)

The patent filed by Azenta Inc. describes an automatic teaching system for a substrate processing apparatus. The system includes a frame with a workpiece load station, a robot transport with a movable arm and end effector, and a machine vision system with fixed and movable imaging sensors. The method involves providing a load jig, imaging targets with the machine vision system, and justifying the movable imaging sensor in a predetermined position relative to the end effector reference location.

The method further includes a controller to move the transport arm, resolve offsets between reference locations, and align targets for teaching positions. The load jig is configured as a mock substrate carrier, and the fixed imaging sensor is positioned to image arm targets for offset resolution. The system allows for precise teaching of the substrate processing apparatus by utilizing multiple imaging sensors, teach positions, and offset resolution techniques to ensure accurate alignment and operation of the system.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.