Robotics & Machine Learning Daily News2024,Issue(MAY.24) :108-112.

'Engagement Detection and Attention Estimation for Human-Robot Interaction' in P atent Application Approval Process (USPTO 20240153314)

Robotics & Machine Learning Daily News2024,Issue(MAY.24) :108-112.

'Engagement Detection and Attention Estimation for Human-Robot Interaction' in P atent Application Approval Process (USPTO 20240153314)

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Abstract

The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “As technology advances, various types of roboti c devices are being created for performing a variety of functions that may assis t users. Robotic devices may be used for applications involving material handlin g, transportation, welding, assembly, and dispensing, among others. Over time, t he manner in which these robotic systems operate is becoming more intelligent, e fficient, and intuitive. As robotic systems become increasingly prevalent in num erous aspects of modern life, it is desirable for robotic systems to be efficien t. Therefore, a demand for efficient robotic systems has helped open up a field of innovation in actuators, movement, sensing techniques, as well as component d esign and assembly.”

Key words

Cyborgs/Emerging Technologies/Human-Ro bot Interaction/Machine Learning/Patent Application/Robot/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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