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An Aeromagnetic Compensation Algorithm Based on Broad Learning System

An Aeromagnetic Compensation Algorithm Based on Broad Learni...

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robotics, Artificial Intelligence and Intelligent control (RAIIC), international conference on

作者： Qilong Wang Junlei Song Chao Zuo Kaifeng Dong Fang Jin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo- Exploration Ministry of Education Wuhan China Wuhan Second Ship Design and Research Institute Wuhan China

ISBN: (数字)9798350352627

ISBN: (纸本)9798350352634

Aeromagnetic surveys, renowned for their operational flexibility and high efficiency, serve as a crucial technique for measuring the geomagnetic field. However, aeromagnetic surveys are easily affected by magnetic interference from navigation platforms, making the compensation of aeromagnetic interference a crucial step in the measurement process. To address the inadequate consideration of nonlinear magnetic field interference in traditional compensation algorithms, this paper introduces an aeromagnetic compensation approach based on broad learning system. The broad learning system employs an incremental learning mechanism aimed at enhancing the precision of the network alongside the increase in nodes. With each expansion of the network node, computation is streamlined to calculating the pseudo-inverse of the expansion node, eliminating the necessity for retraining the entire network structure. Leveraging the nonlinear fitting characteristics of the broad learning system, this paper improves the accuracy of aeromagnetic interference compensation. Through UAV flight experiments, the broad learning system is compared with methodologies using particle swarm optimization (PSO) and BP neural network. Compared with PSO, training time was reduced by $21.3 \%$ and magnetic interference by $33.6 \%$. Compared with BP neural networks, training time was reduced by $34.9 \%$ and magnetic interference by $28.6 \%$. This paper provides references and ideas for the selection of aeromagnetic interference compensation algorithms.

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Edge Computing for Real-Time Decision-Making in Industrial automation Systems - A Comprehensive Review

Edge Computing for Real-Time Decision-Making in Industrial A...

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Advancements in Electrical, Electronics, Communication, Computing and automation (ICAECA), international conference on

作者： R. Raffik V. J. Balamurugan N. Gopinath Pandian Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The real-time decision-making potential brought by edge computing is disrupting industrial automation, transcending the speed-and-bandwidth limitations of traditional cloud computing. By enabling on-site data processing, edge computing effectively low-latency and responsive applications, e.g., predictive maintenance, process optimization, and autonomous robotics. This paper discusses edge computing architecture and deployment models, its hardware and software components, and networking infrastructure. The objectives to review are to analyze how edge computing facilitates real-time decision-making in automated industrial processes. The discourse is then fully addressed around the different core technologies, advantages, concerns, real-life instances, and future trends toward increasing efficiencies, lowering latencies, and making smart manufacturing possible. Integration of AI and machine learning at the edge levels make real-time analytics, thus improving efficiency and agility. Key challenges under consideration include security, scalability, and economic impact, along with their applications in the real world. Future direction encompasses AI-based analytics, energy-efficient edge devices, and seamless interoperability poised to change its status from enabler to disrupter concerning industrial automation.

关键词： automation Reviews Decision making Process control Real-time systems Energy efficiency Security Optimization Interoperability Edge computing

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Integrated control system construction for electromagnetic system based on Lab VIEW 3

Integrated control system construction for electromagnetic s...

引用

3rd international Symposium on robotics and Intelligent Manufacturing Technology, ISRIMT 2021

作者： Huan, Zhijie Wang, Jiamin Ma, Weicheng Zhang, Zhemin Xiamen University of Technology School of Electrical Engineering and Automation Xiamen China

ISBN: (纸本)9781665437189

The electromagnetic system is driven by multiple programmable power supplies manipulating the micro-robot. Robot movement is observed and analyzed through CCD camera in real time. Thus, the driven force could be adjusted accordingly. An integrated system based on LabViewwas proposed in this paper, combining the visual feedback system and electromagnetic coils system, which realizes the analysis of robot motion state and the real-time control of the programmable power supplies. Experiment on the linear motion of magnetic microbead is constructed for pretest and preliminary calibration. Furthermore, PID control strategy was used for driving the microbead moving along a circular path. The integrated control system simplifies the operation of the electromagnetic driven system and provides a basic platform for executing more precise control algorithms subsequently. © 2021 IEEE.

关键词： Real time control

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Programmable Current Source Design for Multi-channel Magnetic Field Generator* Programmable current source 3

Programmable Current Source Design for Multi-channel Magneti...

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2021 3rd international conference on robotics, Intelligent control and Artificial Intelligence, ICRICA 2021

作者： Ding, Ning Zhang, Qi Xu, Han Feng, Junfu Li, Xiao School of Electronic Engineering and Automation Guilin University of Electronic Science and Technology China

The three-dimensional motion of magnetic micro-robots requires the control of multiple magnetic field generators working simultaneously. The current program-controlled current sources in the market are generally expensive and it is difficult to control multiple program-controlled current sources by a single controller to change the output current at the same time. In order to compress the experimental cost, reduce the experimental threshold, realize the simultaneous control of multiple magnetic field generators and make them work stably, this paper proposes a special program-controlled current source design for multiple magnetic field generators, and verifies the feasibility of the design through experimental tests. The results show that the dedicated current source is able to output 0.31/46.5A under ±12V switching power supply test when each current source is connected to a 1.5 ohm solenoid coil with internal resistance. The system meets the requirements of 3% or less output current error and fast response time while greatly reducing costs and achieving good interactivity. © Published under licence by IOP Publishing Ltd.

关键词： Cost reduction

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An Improved Wildfire Identification Method Based on Yolov7 and Attention Mechanism 3

An Improved Wildfire Identification Method Based on Yolov7 a...

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3rd international conference on Artificial Intelligence, Virtual Reality, and Visualization, AIVRV 2023

作者： Yang, Qiang Yu, Fan Zhang, Gexiang Jin, Xiaozhao Guo, Dequan Wang, Ping Yao, Guangle Liang, Kai College of Computer Science and Cyber Security Chengdu University of Technology Chengdu China School of Automation Chengdu University of Information Technology Chengdu China School of Network & Communication Engineering Chengdu Technological University Chengdu China

ISBN: (纸本)9781510671485

Wildfires, also called forest fires, are a common natural disaster that often occur in forests and are difficult to control. Detecting and suppressing them at an early stage, primarily through monitoring smoke and fires, is crucial in reducing losses. Thanks to the efforts of researchers, wildfire detection technology has advanced significantly, from traditional manual monitoring to target detection, sensor detection, and infrared detection. However, the various detection methods still have some issues, including low accuracy, high costs, slow detection speeds and susceptibility to interference. This paper presents an improved approach to identifying wildfires based on YOLOv7 with CBAM. Our experimental results indicate that our approach achieves a mean Average Precision (mAP) of 95.77%, surpassing VGG-SSD with CBAM by 0.53%, MobileNetv2-SSD with CBAM by 0.37%, and Faster R-CNN with CBAM by 2.1%. Thus, our method offers a highly accurate approach to wildfire identification. © 2023 SPIE.

关键词： Smoke

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A Comparative Study of Environmental Perception and Object Recognition Methods for Robots

A Comparative Study of Environmental Perception and Object R...

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robotics, Artificial Intelligence and Intelligent control (RAIIC), international conference on

作者： Haoyu Fan Guowei Zhang Youtao Zhou Jinwen Hu Yuntao Xiao Shimian Zhang The School of Automation Engineering University of Electric Power Shanghai China Shanghai HRSTEK Co. Ltd Shanghai China

ISBN: (数字)9798350352627

ISBN: (纸本)9798350352634

To address the selection of generic image segmentation and open-set object detection models for robotic object recognition, this paper experimentally compares the generic image segmentation and open-set object detection models, specifically, compares and analyzes the performance of the SAM (Segment anything Model) image segmentation model as well as its derivatives Mobile SAM and HQ-SAM generic image segmentation model, and the Grounding DINO and YOLO-world open set object detection models. The applicability of these state-of-the-art object recognition methods in different robotic environment perception tasks is fully validated through detailed experimental evaluations. The results show that Mobile SAM and YOLO-world perform well in real-time demanding scenarios and can meet the needs of fast response and processing, while HQ-SAM and Grounding DINO show superior performance in segmentation or detection tasks requiring high accuracy and are more suitable for application scenarios requiring high segmentation or detection accuracy. These findings provide references and guidance for the practical applications of robotic object recognition, and can help researchers and engineers to choose the most suitable models and methods in scenarios with different requirements.

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A Multi-feature Combination Method for Tracking of Marine Ships 3

A Multi-feature Combination Method for Tracking of Marine Sh...

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2021 3rd international conference on robotics, Intelligent control and Artificial Intelligence, ICRICA 2021

作者： Yang, Lichun Yang, Dan Wang, Fan School of Transportation Science and Engineering Beihang University Beijing100191 China Jiangsu Automation Research Institute Lianyungang222061 China

Maritime images and videos provide a variety of kinematic traffic information, including traffic volume, ship speeds and headings, which significantly benefits remote maritime traffic management and maritime safety improvement. To track multiple moving objects robustly from the complex original maritime image sequence, we propose an ensemble ship tracking framework with multiple feature extraction and Dempster-Shafer theory of evidence. Spatial features such as statistical features of gray values and geometric features in the image sequence rather than the motion characteristics are extracted, and the D-S theory is applied for combination of feature evidence to perform the correct association of multiple objects. We demonstrate the performance of the proposed ship tracking algorithm on a typical marine traffic scene through the marine surveillance video. Experimental results show that the proposed method can achieve continuous tracking of multiple marine moving objects with strong stability, and have the potential to improve marine transportation and fishery safety. © Published under licence by IOP Publishing Ltd.

关键词： Security systems

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Unity 3D-Based Six-Degree-of-Freedom Robotic Arm Virtual Simulation Teaching Platform

Unity 3D-Based Six-Degree-of-Freedom Robotic Arm Virtual Sim...

引用

robotics, Artificial Intelligence and Intelligent control (RAIIC), international conference on

作者： Jinwen Hu Qiuhong Lu Haoyu Fan Yuntao Xiao Youtao Zhou Shimian Zhang The School of Automation Engineering University of Electric Power Shanghai China Shanghai HRSTEK Co. Ltd Shanghai China

ISBN: (数字)9798350352627

ISBN: (纸本)9798350352634

The robotic arm is an important foundation for robots to perform a variety of complex tasks, and the robotic arm grasping technology involves multidisciplinary and multidisciplinary fields, which leads to a high learning threshold due to reasons such as more complex and abstract theoretical knowledge. In addition, the whole set of industrial robots is expensive, and it is difficult to ensure that each experimenter is involved. To address these issues, this paper is based on the visualization of Unity3D development platform vision technology, using SolidWorks modeling, and combined with the actual scene in the robotic arm grasping operations, to achieve a highly immersive virtual simulation of a typical case of grasping the target object, to build a six-degree-of-freedom robotic arm virtual simulation teaching system; to achieve the virtual simulation teaching software and the robotic arm unit to establish communication, the The virtual simulation system is integrated with the robotic arm unit operation platform. The system has the advantages of easy operation, real simulation effect and good learning effect, which is of positive significance for improving the teaching quality and research level of robot arm related courses.

关键词： Training Visualization Solid modeling Service robots Virtual environments Grasping Kinematics

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Robotic Process automation 3rd

Robotic Process Automation

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3rd international conference on Recent Trends in Advanced Computing - Artificial Intelligence and Technologies, ICRTAC-AIT 2020

作者： Choudhary, Raj Karmel, A. Vellore Institute of Technology Tamil Nadu Chennai600127 India

ISBN: (纸本)9789811664472

In this era where celerity is expected in the software development process in terms of update release due to the immense competition in the market, automation of repetitive tasks can save a lot of time for the developers and engineers. Robotic process automation (RPA) handles this automation of repetitive tasks. Since the software robots handle these time-consuming tasks, the employees can invest their time in quality work that requires the expertise of the person and can lead to great returns for the organization. RPA leads to many benefits for the organization such as increased efficiency, better productivity, data integrity, data security, and improved accuracy. Implementing RPAs comes with its challenges like what are the tasks that should be automated, should a complete process be automated, or automating a sub-process can lead to better results. The automation for the software development industry was explored and implemented. This is the industry in which a lot of time of the developer is used in deploying and configuring the same services for testing, in case of failures, etc. By automating these tedious tasks, a lot of time of the developer could be saved and would lead to larger revenue generation for the organization. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Process control

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The Detection and Following of Human Legs Based on Feature Optimized HDBSCAN for Mobile Robot 3

The Detection and Following of Human Legs Based on Feature O...

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2021 3rd international conference on robotics, Intelligent control and Artificial Intelligence, ICRICA 2021

作者： Liu, Penghua Yao, Hanchen Dai, Houde Fu, Wei School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Institute of Equipment Manufacturing Haixi Institutes Chinese Academy of Science Quanzhou China

Accurate target recognition and stable follow in real clutter environment are important tasks for following a random robot. In this paper, a scheme of detecting and tracking human legs using a single lidar is proposed. The HDBSCAN algorithm is optimized by human leg characteristics, and the leg line features are fused on the basis of the density characteristics of the leg laser radar data, and the leg information of the target is clustered and its location is obtained. Based on the relative shift angle of target moving and the lock-in algorithm of tracking distance, the single target detection and tracking in unstructured environment can be realized. The lidar dataset in multiple scenes verifies that the clustering algorithm based on feature optimization improves the accuracy of target legs detection by more than 10% compared with the original algorithm. The scheme performs follow-up experiments on a self-built solid robot. The experimental results show that the robot can achieve accurate and stable human target follow in clutter environment. © Published under licence by IOP Publishing Ltd.

关键词： Optical radar

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