Meta Platforms had three patents in robotics during Q4 2023. Meta Platforms Inc has developed a self-deploying landing gear assembly for UAVs that improves flight performance and safety. The assembly includes castering wheels, friction-disks, and a roll stop mechanism to ensure efficient and aligned landings on runways. GlobalData’s report on Meta Platforms gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Meta Platforms grant share with robotics as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Gravity fed, self-deploying landing gear assembly for unmanned aerial vehicles (Patent ID: US20230399096A1)

The patent filed by Meta Platforms Inc. relates to unmanned aerial vehicles (UAVs) and landing systems that include a gravity-fed landing gear assembly with a tear-through barrier on the bottom side of the housing. The landing gear assembly is designed to align with the runway upon landing, with features such as castering wheels that rotate in flight, friction-disks to reduce wheel rotation upon landing, and a roll stop mechanism. The system includes a pin switch and electronic pin switch to release and deploy the landing gear assembly, which punctures the tear-through barrier using gravitational force.

The unmanned aerial vehicle landing system described in the patent includes a structural member with a hinge and at least one wheel that pivots between positions inside and outside the housing. The system also features a pin mechanism to hold the landing gear assembly in place, an electronic pin switch for deployment, and dampeners to control acceleration during deployment. The method for deploying the landing gear assembly involves engaging a pin, activating the electronic pin switch, and utilizing gravitational force to rupture the tear-through barrier for deployment, with additional features like a wheel stop and dampeners for controlled deployment.

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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.