Compagnie Generale des Etablissements Michelin had four patents in artificial intelligence during Q1 2024. The patents filed by Compagnie Generale des Etablissements Michelin in Q1 2024 relate to a tire picking system that uses a robot with a gripper to pick tires from an unknown arrangement. The system includes a gripper, a robot with a gripping device, and an image processing module that determines parameters of the target tire. The robot is then directed to pick the target tire based on the determined parameters, including diameter, tire radius, and rim radius, and place it in a target location. GlobalData’s report on Compagnie Generale des Etablissements Michelin gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Compagnie Generale des Etablissements Michelin had no grants in artificial intelligence as a theme in Q1 2024.

Recent Patents

Application: System and process for picking tires in an unknown arrangement (Patent ID: US20240075626A1)

The patent filed by Compagnie Generale des Etablissements Michelin describes a tire picking system that utilizes a robot with a gripping device supported by a pivotable elongated arm and a gripper to pick tires stored in an unknown arrangement. The system includes a detection system with sensors capturing images of the physical environment, a processor with an image processing module applying data to a neural network to determine parameters of a target tire, and a control system directing robot movement based on the data. The gripper is configured with internal and external fingers that engage specific points along the inner boundary of the tire sidewall, allowing for precise tire picking based on determined parameters.

Furthermore, the gripper itself is described as a platform with internal and external fingers that can be moved between standby and engagement positions to pick a target tire along the inner sidewall diameter. The gripper is designed to engage specific points along the inner boundary of the tire sidewall, ensuring accurate and efficient tire picking. The system also includes a processor for analyzing images of the physical environment to determine parameters of the target tire, such as inner and outer boundaries of the sidewall, rim radius, sidewall internal diameter, tire radius, and tire diameter, enabling the gripper to pick the target tire based on these parameters.

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