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Patent drawing for Methods and apparatus to facilitate autonomous navigation of robotic devices
US 11,249,492 B2
Control systems US 11,249,492 B2 Not in force

Methods and apparatus to facilitate autonomous navigation of robotic devices

This invention describes an autonomous robot designed to navigate by analyzing images of its surroundings. It uses different specialized neural network models, each uniquely associated with a specific "region" of its environment. As the robot moves from one region to another, it switches to the corresponding neural network model to guide its movement. If an obstacle blocks its path, the robot can request a new route from a remote server, which provides new regions and their respective neural network models.

Why it matters: Filed before significant advancements in neural network efficiency and edge AI hardware. Training and deploying specialized neural networks for specific environmental regions on a robot has become substantially more practical and performant since 2019.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedNeural networks, software logic, robot hardware

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