Autonomous Underwater Vehicle (AUV) is widely used for observations in polar regions. In order to maintain a stable observation state, the horizontal hovering control of AUVs has become a research topic of interest. E...
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Owing to the deep integration of biological and electromechanical systems,biosyncretic robotic systems have emerged as a significant research interest in *** study presents the latest related research featuring variou...
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Owing to the deep integration of biological and electromechanical systems,biosyncretic robotic systems have emerged as a significant research interest in *** study presents the latest related research featuring various biological *** the classification of biosyncretic robotic systems,the key technologies for construction are elucidated and summarized,including comprehensive structural design,fabrication,and behavior control ***,emphasis has been placed on their applications,particularly within the biomedical ***,the challenges are summarized,and their future developments are envisioned.
High-precision and real-time diagnosis of sucker rod pumping system(SRPS)is important for quickly mastering oil well *** learning-based method for classifying the dynamometer card(DC)of oil wells is an efficient diagn...
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High-precision and real-time diagnosis of sucker rod pumping system(SRPS)is important for quickly mastering oil well *** learning-based method for classifying the dynamometer card(DC)of oil wells is an efficient diagnosis ***,the input of the DC as a two-dimensional image into the deep learning framework suffers from low feature utilization and high computational ***,different SRPSs in an oil field have various system parameters,and the same SRPS generates different DCs at different ***,there is heterogeneity in field data,which can dramatically impair the diagnostic *** solve the above problems,a working condition recognition method based on 4-segment time-frequency signature matrix(4S-TFSM)and deep learning is presented in this ***,the 4-segment time-frequency signature(4S-TFS)method that can reduce the computing power requirements is proposed for feature extraction of DC ***,the 4S-TFSM is constructed by relative normalization and matrix calculation to synthesize the features of multiple data and solve the problem of data ***,a convolutional neural network(CNN),one of the deep learning frameworks,is used to determine the functioning conditions based on the *** on field data verify that the proposed diagnostic method based on 4S-TFSM and CNN(4S-TFSM-CNN)can significantly improve the accuracy of working condition recognition with lower computational *** the best of our knowledge,this is the first work to discuss the effect of data heterogeneity on the working condition recognition performance of SRPS.
Electroencephalography (EEG), a technique that uses electrodes on the scalp to record changes in cerebral electrical potentials, plays a key role in various brain-computer interface applications. However, due to the l...
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In nature, the bottlenose dolphin employs a prevalent intermittent-flapping behavioral strategy to enhance swimming efficiency during long-distance journeys. Taking inspiration from this natural mechanism, a newly-des...
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In nature, the bottlenose dolphin employs a prevalent intermittent-flapping behavioral strategy to enhance swimming efficiency during long-distance journeys. Taking inspiration from this natural mechanism, a newly-designed bioinspired underwater vehicle (BUV) based on dorsoventral propulsion is developed to investigate the specific intermittent-propulsion mode. First, a BUV prototype is designed, incorporating morphological characteristics resembling those of adult bottlenose dolphins, which features robust sensing capabilities, redundant actuation surfaces, and a passive peduncle joint for mitigation of the head-nodding motion. Second, a dynamic model for assessing the intermittent propulsion's cost of transport and velocity in a balanced perspective is established. In-depth investigations are conducted to analyze the impact of parameters in the intermittent-propulsion mode under varying flapping and gliding drag coefficients, which offer a novel and reasonable explanation for the exceptional duty cycle observed in bottlenose dolphins by biologists. Finally, numerous aquatic experiments are conducted to validate the remarkable energy-saving advantages of the proposed intermittent-propulsion mode of the BUV. These results present a new solution for efficient and sustainable long-distance navigation of BUVs, highlighting their potential for effective marine exploration. IEEE
作者：
Li, MeihuiSong, ChunheYu, XiaChu, MengmengLi, RuiShenyang University of Technology
State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control Systems Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang Shenyang China State Key Laboratory of Robotics
Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control Systems Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang Shenyang China Shenyang University of Technology
Shenyang China
Printed circuit board defect recognition is of great significance to ensuring the quality of electronic products. This paper proposes an improved PCB defect detection method based on YOLOV8. Firstly, the data augmenta...
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Swarming magnetic micro/nanorobots hold great promise for biomedical applications,but at present suffer from inferior capabilities to perceive and respond to chemical signals in local *** we demonstrate swarming magne...
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Swarming magnetic micro/nanorobots hold great promise for biomedical applications,but at present suffer from inferior capabilities to perceive and respond to chemical signals in local *** we demonstrate swarming magnetic photonic crystal microrobots(PC-bots)capable of sponta-neously performing on-the-fly visual pH detection and self regulated drug delivery by perceiving local pH *** magnetic PC-bots consist of pH-responsive hydrogel microspheres with encapsulated one-dimensional periodic assemblies of Fe3O4 *** programming extemnal rotating magnetic fields,they can self-organize into large swarms with much-enhanced collective velocity to actively find targets while shining bright“blinking”structural *** approaching the target with abnormal pH conditions(*** ulcerated superficial tumor lesion),the PC-bots can visualize local pH changes on the fly via pH-responsive structural colors,and realize self-regulated release of the loaded drugs by recognizing local *** work facilita tes the develop-ment of intelligent micro/nanorobots for active“motile-targeting”tumor diag-nosis and treatment.
Aiming at the model distortion, constraint redundancy, and lack of occlusion detection, an optimization algorithm for multi-camera placement based on environment model is proposed to minimize escape rate and measureme...
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In this paper, we propose a new method for using Dynamic Movement Primitives (DMPs) to enable robots to avoid volumetric obstacles when learning skills from human demonstrations. We can utilize coupling terms in DMPs ...
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Understanding the physical essence of wheel-terrain interaction is critical to establish the terramechanics model. The discrete element method (DEM) can be used to simulate a series of wheel-terrain interaction quickl...
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