Robotics & Machine Learning Daily News2024,Issue(Oct.14) :78-79.

Dnipro University of Technology Researchers Publish New Data on Robotics (Assess ment of the risk of a dangerous event of a human collision with a remote-control led robot)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :78-79.

Dnipro University of Technology Researchers Publish New Data on Robotics (Assess ment of the risk of a dangerous event of a human collision with a remote-control led robot)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting from Dnipro University of Technology by News Rx journalists, research stated, “This study assesses the risk of a collision be tween a human and the ‘Robot Arm’ during remote control, using a 6DoIt Mobile Ro bot Arm with six degrees of freedom.” Our news editors obtained a quote from the research from Dnipro University of Te chnology: “The bow-tie approach, combined with EN ISO 12100 standards, was emplo yed to evaluate the risk of such a dangerous event, considering physical, organi zational, psychosocial, and informational factors. The proposed risk assessment method is based on the bow-tie model, emphasizing the importance of determining the possibility of avoiding hazards as per EN ISO 12100. A three-level protectiv e system - physical,psychological, and informational - is suggested to mitigate the risk, interconnected to enhance safety by reducing the severity of potentia l consequences. The approach has been refined to better determine the severity o f outcomes, focusing on the ability to avoid danger.” According to the news editors, the research concluded: “Additionally, recommenda tions for enhancing robotics safety management were developed, aiming to improve the effectiveness of measures to reduce collision risks during the operation of the ‘Robot Arm’.”

Key words

Dnipro University of Technology/Emergin g Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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