首页|Data from Northeastern University Advance Knowledge in Robotics (Precise Control Mode for Concrete Vibration Time Based On Attention-enhanced Machine Vision)
Data from Northeastern University Advance Knowledge in Robotics (Precise Control Mode for Concrete Vibration Time Based On Attention-enhanced Machine Vision)
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NETL
NSTL
Elsevier
Investigators discuss new findings in Robotics. According to news originating from Shenyang, People's Republic of China, by NewsRx correspondents, research stated, “In concrete construction, vibration is an essential process used to ensure the structural soundness and long-term durability of concrete structures. Automating concrete vibration monitoring enables far more precise control compared to subjective human judgments.” Funders for this research include University Innovation Team of Liaoning Province, China Construction Eighth Engineering Division Co., Ltd., China Scholarship Council. Our news journalists obtained a quote from the research from Northeastern University, “In this paper, a control mode for concrete vibration time used on the vibrating robot is proposed. The control mode utilizes YOLOv8 model to recognize the best-vibrating position and eliminate the rebar part of concrete surface image and employs attention-enhanced squeeze-and-excitation neural network to regress the vibrating completion degree. After deployment to the embedded system of vibrating robot, experimental results demonstrate superior performance of the proposed method over state-ofthe-art algorithms with the highest recognition rate and maximum R2 value. The control mode enhances vibration quality while liberating workers from manual tasks.”
ShenyangPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningMachine VisionRobotRoboticsNortheastern University
NETL
NSTL
Elsevier
