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检索条件"任意字段=5th International Conference on Robotics and Automation Systems, Robotics 2010"

共 1356 条记录，以下是151-160 订阅

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Event-Triggered Fault Detection and Control in Generalized Internal Model Control Framework 5

Event-Triggered Fault Detection and Control in Generalized I...

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5th international conference on robotics, Control and automation Engineering, RCAE 2022

作者： Qu, Suichun Wu, Jingsong Guo, Weijie Chen, Bin School of Electrical and Energy Engineering Nantong Institute of Technology Nantong China School of Electrical Engineering Nantong University Nantong China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China School of Business Nantong Institute of Technology Nantong Nantong China

ISBN: (纸本)9781665459419

the paper investigates the design of event-triggered fault detection and control in the framework of Generalized Internal Model Control (GIMC). Inspired by the GIMC structure, an observer-based feedback control structure with a fault detection unit is firstly proposed, where the event-triggered technology is also employed to reduce the communication consumption between the monitored plant and the observer. then, since the separation principle is destroyed by the use of the event-triggered technology, the augmented system approach is used to design the observer-based controller. Further, a robust post-filter is designed, under the H-/H∞performance index, to guarantee that the residual (fault indicating) signal satisfies the optimized robustness against disturbances under the desired sensitivity to faults. Finally, a three-tank system is adopted to verify the effectiveness and superiority of the proposed scheme. © 2022 IEEE.

关键词： Fault detection

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Research on Bolt Tightening Control Method Based on Electric Tightening Machine 5

Research on Bolt Tightening Control Method Based on Electric...

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5th international conference on robotics, Control and automation Engineering, RCAE 2022

作者： Zhao, Jing Tao, Xijia Luan, Xuebo Hou, Lei Ji, Wenchao Wang, Lei College of Mechanical and Electrical Engineering Changchun College of Electronic Technology Changchun China Changchun Crrc Changke Mould Co. Ltd Technical Quality Department Changchun China Changchun Zhongtuo Moulding Technology Co. Ltd. Technology Department Changchun China

ISBN: (纸本)9781665459419

With the rapid development of manufacturing automation, traditional bolt tightening methods are difficult to adapt to the fast and high quality requirements of modern industry for product assembly. Even electric tightening has been put forward higher requirements, especially for those products that require high axis force control after bolt tightening. therefore, it is particularly important to control the bolt tightening process and results. In this paper, three tightening methods are compared by experiments, and the torque-angle twice tightening method is chosen as the best one, which has the least attenuation and the minimum discrete rate of the axis force after 24 hours. Aiming at the difficult problem of how to control the axis force after tightening, a set of automatic control method using electric tightening machine is put forward. this method can accurately control the tightening position even if the workpiece with variable. At the same time, it can control the tightening process effectively by monitoring the relative relationship between tightening angle and Torque, in order to effectively ensure the modern manufacturing industry on Bolt Tightening axis force requirements. © 2022 IEEE.

关键词： automation

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An Improved Plant Disease Detection Method Based on YOLOv5 15

An Improved Plant Disease Detection Method Based on YOLOv5

引用

15th international conference on Intelligent Human-Machine systems and Cybernetics, IHMSC 2023

作者： Cai, Hongxia Jiang, Jiaying School of Mechatronic Engineering and Automation Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai China

ISBN: (纸本)9798350326178

To overcome the challenges of weak generalization, high false detections, and missed targets in multi-scale plant disease detection under complex scenarios, this paper proposes an enhanced method based on YOLOv5. the method improves YOLOv5 by incorporating a multi-scale feature fusion module, an attention mechanism, and optimizing the loss function to accurately locate and classify plant disease targets. Experimental results show significant improvements over the original YOLOv5 model in terms of mAP, precision, and recall, with enhancements of 3.99%, 1.56%, and 1.27% respectively. Additionally, the proposed method outperforms other commonly used models. this study provides an efficient and accurate approach for plant disease detection, enabling real-time monitoring of plant health and precise disease control in plant factories. © 2023 IEEE.

关键词： Object detection

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Improved YOLOv5s Network for Traffic Object Detection with Complex Road Scenes 13

Improved YOLOv5s Network for Traffic Object Detection with C...

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13th IEEE international conference on CYBER Technology in automation, Control, and Intelligent systems, CYBER 2023

作者： Cao, Yi Wang, Yuning Fan, Huijie Dalian University of Technology Faculty of Vehicle Engineering and Mechanics Da Lian China Unit 32681 PLA Tieling China Shenyang Institute of Automation State Key Laboratory of Robotics Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350315196

Aiming at the problems of low target detection accuracy and prone to false detection and missed detection in complex traffic scenes, a road target detection algorithm based on improved YOLOv5s is proposed. Firstly, a feature extraction layer based on Spatial Pyramid Pooling(SPP) is adopted for increasing shallow feature receptive fields named as Multi-scale SPP module (M-SPP). M-SPP is designed to fully integrate feature information of different scales for improving feature extraction ability of our network. Secondly, a Global Context Attention Module(GCAM) is proposed, in focusing on important features in channel and spatial dimensions, allowing the network to focus on more useful information. Finally, experimental results show that detection accuracy of the improved YOLOv5s model we proposed on the UA-DETRAC dataset, compared with the original algorithm, improved by 1.83% and 2.54% respectively. Our improved model abtain good detection accuracy while ensuring real-time performance, and solves problem of missed detection and false detection of small targets in complex road scenes to a certain extent. © 2023 IEEE.

关键词： Feature extraction

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Path Planning of Dual Ammunition Loading Robot Based on Velocity Repulsion Field 5

Path Planning of Dual Ammunition Loading Robot Based on Velo...

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5th IEEE international conference on automation, Electronics and Electrical Engineering, AUTEEE 2022

作者： Dong, Qicheng Xu, Zhigang Wang, Junyi College of Mechanical and Electrical Engineering Shenyang University of Aeronautics and Astronautics Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Institute of Robotics and Intelligent Manufacturing Innovation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665471978

Aiming at the problems of slow charging speed of single ammunition loading robot and complicated path planning of dual robots, a path planning method of dual ammunition loading robots based on velocity repulsion field is proposed. Firstly, a robot collision detection system is established, and the robot is simplified by the form of sphere enclosing, so that the collision detection between robots can be converted into geometric distance detection;secondly, the collision-free motion path of the double-charged robot is planned by using the velocity repulsion field algorithm;finally, the experimental verification is carried out in matlab. the results show that the algorithm can effectively plan the collision-free path of the robot, which satisfies the work requirements and verifies the reliability and effectiveness of the algorithm. © 2022 IEEE.

关键词： Loading

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Visual Guidance of Aerial Vehicle for Target Recognition and Pose Estimation 13

Visual Guidance of Aerial Vehicle for Target Recognition and...

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13th IEEE international conference on CYBER Technology in automation, Control, and Intelligent systems, CYBER 2023

作者： Zhang, Zhaoyang Zhang, Guangyu Yang, Liying He, Yuqing Li, Siliang Northeastern University Shenyang110819 China Shenyang Institute of Automation CAS State Key Laboratory of Robotics Shenyang110016 China

ISBN: (纸本)9798350315196

this paper proposes a deep learning-based target pose estimation method for aerial vehicle, a robotic system combining a rotary-wing UAV and a robotic arm, which is difficult to accurately acquire the pose of the target when performing tasks in the field environment. Firstly, in the offline stage, the YOLOv5 model is improved by adding angle prediction branches to make it capable of pose estimation;secondly, the offline model is used to complete target recognition, target segmentation and pose estimation in combination with online images, and the online visual point cloud is combined with statistical filtering to complete the position estimation of targets;Finally, the effectiveness and feasibility of this visual guidance method is verified through indoor static experiments and outdoor flight experiments, and this method successfully guided the aerial vehicle to complete the torch docking task. © 2023 IEEE.

关键词： Image segmentation

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Advanced 5 GHz CPW-Fed Microstrip Antenna with RF MEMS Switches for Enhanced RF Performance 4

Advanced 5 GHz CPW-Fed Microstrip Antenna with RF MEMS Switc...

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4th international conference on Advancement in Electronics and Communication Engineering, AECE 2024

作者： Murali Narayanan, R. Ramkumar, G. Anitha, G. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Automation and Robotics Engineering Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Ece Chennai India

ISBN: (纸本)9798350364729

the coplanar waveguide (CPW) feeding method is used in this work to develop a microstrip antenna with better performance metrics appropriate for present day communication applications. the design incorporates a dual-ground plane arrangement, whereby the substrate is positioned beneath the first ground plane, and the patch dimensions are exactly aligned with the second ground plane, which is positioned above the substrate. 35.011 mm × 22 mm × 1 mm3 are the total antenna dimensions. the radiating patch, which measures 18.03 × 19.18 mm2, is positioned above the second substrate, while the feed line is below the first. A thorough parametric study was carried out, concentrating on a number of crucial dimensions, in order to maximize the antenna's performance. In order to attain the intended results, the design parameters were refined through this iterative approach. With an outstanding impedance match of 49.98 ohms and a remarkable gain value of 5.8 dBi, the completed antenna design provided effective signal transmission and reception. Because it operates in the 5 GHz frequency range, the antenna can be used for a variety of purposes. these comprise wireless networks, industrial automation systems, radar systems, point-to-point communication links, and some medical imaging equipment. A variety of high-frequency applications find the antenna desirable because to its inclusion of the CPW feeding method, which improves the antenna's gain and impedance matching while also streamlining the fabrication process. © 2024 IEEE.

关键词： Coplanar waveguides

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the Segmentation of Plants on RGB Images with Index Based Color Analysis 5

The Segmentation of Plants on RGB Images with Index Based Co...

引用

5th international conference on robotics and automation Sciences (ICRAS)

作者： Zhao, Yibowen Univ New South Wales Sch Comp Sci & Engn Sydney NSW Australia

ISBN: (纸本)9780738133119

Computer vision is an advanced technology and is widely used in aspects such as IoT, agricultural robotics and machine learning. the detection and extraction of plants are the primary tasks of this application. this article shows several index-based colour analysis computer vision methods and relative improvement to extract the plants from backgrounds which contain complex information. the sample images are from the Plant Phenotyping Dataset which contains arabidopsis as desired plants and interference information (metal, moss, white table, etc.). A comparison of the three methods is provided. these methods are Excess Green Index (ExG), Excess Red Index (ExR), and the combination of ExG and ExR (ExG-ExR). Meanwhile, a mask to remove the non-green object (BR mask), Gaussian filter, and erosion operation are added as an improvement to remove the remains. With the evaluation method such as Intersection over Union (IoU) and Sorensen-Dice Similarity Coefficient (DSC), the combination of ExG-ExR, BR mask, Gaussian filter, and erosion shows the best performance with IoU and DSC rate 0.8818 and 0.9368 respectively. However, one setback is that green information like moss is hard to be distinguished from desired plants with these methods. this problem will be researched in the future.

关键词： computer vision plant detection agricultural robotics color analysis segmentation

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Design of a Versatile Soft Pneumatic Gripper 5

Design of a Versatile Soft Pneumatic Gripper

引用

5th international conference on Control, Communication and Computing, ICCC 2023

作者： Sanjay Krishna, J. Lal Priya, P.S. College of Engineering Robotics and Automation Trivandrum India College of Engineering Department of Electrical Engineering Trivandrum India

ISBN: (纸本)9798350334128

Conventional robotic grippers are rigid mechanisms that use suction for grasping objects and are often not used in areas like the food/agriculture industries due to the highly varying sizes, shapes, and weights of the objects which should be handled by them. Since they are designed for specific use cases which are often well-known in advance they are not designed to handle requirements like fragility, deformity, etc. Soft robotic grippers are a solution to this. With the increase in human-robot interactions and increased usage of co-bots, the need for soft robotic grippers is also growing. but often they too are designed for specific needs only. this paper discusses the design of a soft pneumatic gripper with a variable fixture, which can change the grasping workspace area accordingly to make the gripper more versatile. this will enable the gripper to be used in various situations where a traditional gripper requires manual/automated end-effector swap. the finite element analysis of the soft pneumatic actuator and the structure is performed and the parts are fabricated. the bending action of the soft pneumatic actuator is evaluated. © 2023 IEEE.

关键词： Grippers

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A composite Literature review on Impact of Artificial Intelligence on Jobs Profiling 5

A composite Literature review on Impact of Artificial Intell...

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5th IEEE international conference on Advances in Science and Technology, ICAST 2022

作者： Pandit, Soham Shreedhar Naseem, Shaikh Bilal S.K. Somaiya College Somaiya Vidyavihar University Department of It Mumbai India

ISBN: (纸本)9781665492638

the employment impact of advances in artificial intelligence has become a major concern in today's world in recent years. It is often discussed at conferences that rapid advances in machine learning, robotics, and other AI-related technologies could lead to massive unemployment in the country. this study focuses on comparing various research papers published by different authors based on the impact of Artificial Intelligence on human jobs. Various authors investigate the extent to which computerization and automation have the potential to replace available jobs. My research paper is based on thorough examination of research papers published by different authors and also online survey done by me via google forms. We studied the current and foreseeable effects of trends in job availability and human survival due to increase in automation in almost every sector. We examine the jobs most likely to be eliminated, the financial impact of automation, and how people may still be productive in a world when robots perform the majority of the labour. © 2022 IEEE.

关键词： automation

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