Robotics & Machine Learning Daily News2024,Issue(Mar.26) :17-17.

New Robotics Study Results from Concordia University Described (Robust Photogram metry Sensor-based Real-time Pose Control of Industrial Robots)

Robotics & Machine Learning Daily News2024,Issue(Mar.26) :17-17.

New Robotics Study Results from Concordia University Described (Robust Photogram metry Sensor-based Real-time Pose Control of Industrial Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting originating from Montreal, Canada, by NewsRx cor respondents, research stated, “This article proposes a novel robust approach for accurate real-time pose control (RPC) of industrial robots based on photogramme try sensors. The proposed method comprises two main parts: accurate pose detecti on using a photogrammetry sensor and robust Kalman filter (RKF) and RPC of the r obot's end-effector utilizing a chattering-reduced sliding mode controller (CRSM C) with a nonlinear sliding surface.”

Key words

Montreal/Canada/North and Central America/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Conco rdia University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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