Robotics & Machine Learning Daily News2024,Issue(MAY.22) :58-59.

Findings from School of Information Science and Engineering in the Area of Robot ics Reported (Robot Trajectory Planning for Autonomous 3d Reconstruction of Cock pit In Aircraft Final Assembly Testing)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :58-59.

Findings from School of Information Science and Engineering in the Area of Robot ics Reported (Robot Trajectory Planning for Autonomous 3d Reconstruction of Cock pit In Aircraft Final Assembly Testing)

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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 Ningbo, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “The trend towards automation an d intelligence in aircraft final assembly testing has led to a new demand for au tonomous perception of unknown cockpit operation scenes in robotic collaborative airborne system testing. To address this demand, a robotic automated 3D reconst ruction cell which enables to autonomously plan the robot end-camera’s trajector y is developed for image acquisition and 3D modeling of the cockpit operation sc ene.”

Key words

Ningbo/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/School of In formation Science and Engineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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