Robotics & Machine Learning Daily News2024,Issue(Oct.9) :224-227.

Patent Application Titled 'Obstacle Recognition Method For Autonomous Robots' Pu blished Online (USPTO 20240310851)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :224-227.

Patent Application Titled 'Obstacle Recognition Method For Autonomous Robots' Pu blished Online (USPTO 20240310851)

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Abstract

According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Ebrahimi Afrouzi, Ali (Henderson, NV, US); Ebrahimi Afrouzi, Amin (Encinit as, CA, US); Fitzgerald, Andrew Francis (Penfield, NY, US); Highfill, Brian (Cas tro Valley, CA, US); Robinson, Lukas (York, CA), filed on January 16, 2024, was made available online on September 19, 2024. The assignee for this patent application is Al Incorporated (Toronto, Canada). Reporters obtained the following quote from the background information supplied by the inventors: "Autonomous or semi-autonomous robotic devices are increasingl y used within consumer homes and commercial establishments. Such robotic devices may include a drone, a robotic vacuum cleaner, a robotic lawn mower, a robotic mop, or other robotic devices. To operate autonomously or with minimal (or less than fully manual) input and/or external control within an environment, methods such as mapping, localization, object recognition, and path planning methods, am ong others, are required such that robotic devices may autonomously create a map of the environment, subsequently use the map for navigation, and devise intelli gent path and task plans for efficient navigation and task completion."

Key words

Al Incorporated/Autonomous Robot/Busin ess/Emerging Technologies/Machine Learning/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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