Results 11 to 20 of about 167,998 (166)
An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
Autonomous Intelligent Systems, 2022 An industrial robot is a complex mechatronics system, whose failure is hard to diagnose based on monitoring data. Previous studies have reported various methods with deep network models to improve the accuracy of fault diagnosis, which can get an ...
Yuxin Liu +3 more
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Fault diagnosis of industrial robot based on dual-module attention convolutional neural network
Autonomous Intelligent Systems, 2022 Fault diagnosis plays a vital role in assessing the health management of industrial robots and improving maintenance schedules. In recent decades, artificial intelligence-based data-driven approaches have made significant progress in machine fault ...
Kaijie Lu +4 more
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A spatio temporal spectral framework for plant stress phenotyping
Plant Methods, 2019 Background Recent advances in high throughput phenotyping have made it possible to collect large datasets following plant growth and development over time, and those in machine learning have made inferring phenotypic plant traits from such datasets ...
Raghav Khanna +5 more
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Towards symbiotic autonomous systems [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2021 Starting in the second half of the last century, the widespread use of computers has significantly changed the lifestyles of humankind. Since then, with the explosive and perhaps disruptive developments in digital technology, the internet and Internet of Things and artificial intelligence have promoted a growing interaction among humans and machines ...
Okyay Kaynak +3 more
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Nature CommunicationsReal-time high-resolution wind predictions are beneficial for various applications including safe crewed and uncrewed aviation. Current weather models require too much compute and lack the necessary predictive capabilities as they are valid only at the ...
Florian Achermann +6 more
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A dynamic core evolutionary clustering algorithm based on saturated memory
Autonomous Intelligent Systems, 2023 Because the number of clustering cores needs to be set before implementing the K-means algorithm, this type of algorithm often fails in applications with increasing data and changing distribution characteristics.
Haibin Xie, Peng Li, Zhiyong Ding
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Enhancing robotic skill acquisition with multimodal sensory data: A novel dataset for kitchen tasks
Scientific DataThe advent of large language models has transformed human-robot interaction by enabling robots to execute tasks via natural language commands. However, these models primarily depend on unimodal data, which limits their ability to integrate diverse and ...
Ruochen Ren +7 more
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A HUG taxonomy of humans with potential in human–robot hugs
Scientific ReportsHumans can easily perform various types of hugs in human contact and affection experience. With the prevalence of robots in social applications, they would be expected to possess the capability of hugs as humans do.
Zheng Yan +6 more
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A deep learning-based approach for electrical equipment remaining useful life prediction
Autonomous Intelligent Systems, 2022 Electrical equipment maintenance is of vital importance to management companies. Efficient maintenance can significantly reduce business costs and avoid safety accidents caused by catastrophic equipment failures.
Huibin Fu, Ying Liu
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Autonomous Intelligent Systems, 2022 Vehicle mass is an important parameter for motion control of intelligent vehicles, but is hard to directly measure using normal sensors. Therefore, accurate estimation of vehicle mass becomes crucial. In this paper, a vehicle mass estimation method based
Zhuoping Yu +3 more
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