Cutting force is a key factor in machining processes. Cutting force similarity is required for several important issues, namely: stability evaluation, process control, and process parameter setting. This study employe...
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ISBN:
(纸本)9781665474450
Cutting force is a key factor in machining processes. Cutting force similarity is required for several important issues, namely: stability evaluation, process control, and process parameter setting. This study employed a long short-term memory (LSTM) with Siamese architecture to measure the similarity of the cutting forces in a milling process. The Siamese LSTM was trained with time series data of the vertical cutting force collected from a cutting tool during the milling process to calculate the similarity. For evaluation, dynamic time warping (DTW), a common approach used to calculate the similarity of time series data, was employed for comparison with the Siamese LSTM. Experimental results showed that the proposed Siamese LSTM outperformed the conventional DTW-based similarity calculation.
Mole drilling robots have garnered considerable attention to overcome the effect by the complex composition of the regolith on the moon and other celestial bodies, especially for the explorations deeper than 5 meters....
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Industrial 4.0 has been proposed in 2014 and has received many achievements so far under the development of robotics and artificial intelligence. Among all of the research projects on smart factory, transfer robots ar...
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This paper discusses a smart laboratory robotics system designed to allow students remote connection and work with robotic manipulation devices and applications, as well as for teaching and conducting collaborative re...
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Behavior trees have found extensive applications in the field of robotics due to their modular and reusable characteristics. They are employed to enable autonomous actions in robots, including control of robot motion,...
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Hydraulic press is an important molding machine tool. It uses liquid as the working medium to transfer energy to realize various pressure processing processes, and is widely used in aerospace, military, shipbuilding, ...
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The fusion of magnetic levitation technology androbot is an important direction in the research of precision robot. Aiming at the motion characteristics of magnetic levitation robot realized by elastic deformation, t...
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The proceedings contain 42 papers. The topics discussed include: a lightweight image super-resolution network based on large receptive field information distillation;a classification model for signals of seismic event...
ISBN:
(纸本)9781510674745
The proceedings contain 42 papers. The topics discussed include: a lightweight image super-resolution network based on large receptive field information distillation;a classification model for signals of seismic events based on vision transformer;improved UNILM model based on keyword technique;a hospital positioning system based on BLE beacons;personalized differential privacy approach in the federated learning scenario;a power communication scheme integrating 5G network and SD-WAN;research on dynamic robust visual SLAM method based on deep learning;position control of mobile robot based on deep reinforcement learning;multi-modal deep feature fusion for superheat identification in aluminum electrolysis;and joint decision-making of communication waveform and power based on Q-Learning.
The proceedings contain 40 papers. The topics discussed include: black start scheme of wind-storage combined system based on virtual synchronous generator control;a left ventricle segmentation based on boundary weight...
ISBN:
(纸本)9798350310818
The proceedings contain 40 papers. The topics discussed include: black start scheme of wind-storage combined system based on virtual synchronous generator control;a left ventricle segmentation based on boundary weighted loss and residual feature aggregation;a natural language understanding model based on encoding fusion for power marketing indicator answering;a ship network security assessment model;adaptive large-scale multi-objective evolutionary optimization based on reference solution guidance;analysis of key influencing factors and optimization strategy for safety boundary of converter station;assessment of a multi-step lstm-based ensemble strategy for short-term grid modal parameters forecast;authenticity and uncertainty analysis of enterprise carbon verification data;black start scheme of wind-storage combined system based on virtual synchronous generator control;communication encryption scheme of 5G power trading private network based on dynamic key;and conducted electromagnetic disturbance prediction of electric power robot motor drive system.
This article mainly focuses on the design and prototype development of a universal integrated joint, and analyzes the design of the joint and the motor used. By verifying and optimizing weak materials such as enameled...
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