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Design and research of agricultural environmental monitoring system based on wireless sensor 5

Design and research of agricultural environmental monitoring...

引用

5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Jie-Ru, Sun Xiao-Ning, Chen Anhui University School of Electrical Engineering and Automation Hefei Anhui230601 China

ISBN: (纸本)9781728198880

In order to solve the traditional agricultural environment monitoring wiring cost high, data accuracy low, power consumption and other problems. A wireless sensor based agricultural environment control system was designed. With STM32F103C8T6 series 32-bit microcontroller as the main control chip, the sensor acquisition, NRF24L01 radio frequency and GPRS wireless data communication can realize parameter acquisition and transmission. Use solar energy to power the system. Upper computer software can store and display data and control equipment in real time. the experimental results show that the data measured by the system has high precision. To meet the design requirements, the system has the advantages of low power consumption and expansibility, and realizes the real-time monitoring of agricultural environment. It has the value of popularization and application. © 2020 IEEE.

关键词： Solar energy

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Research on Multi-depth-of-field Electronic Image Stabilization Algorithm for In-Vehicle Videos

Research on Multi-depth-of-field Electronic Image Stabilizat...

引用

robotics, Control and automation Engineering (RCAE), international conference on

作者： Xuewen Qiu Huawei Liang Jie Wang Junsen Jing Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China University of Science and Technology of China Hefei China Anhui Engineering Laboratory for Intelligent Driving Technology and Application Innovation Research Institute of Robotics and Intelligent Manufacturing (Hefei) Chinese Academy of Sciences Institutes of Physical Science and Information Technology Anhui University Hefei China

ISBN: (数字)9781665459419

ISBN: (纸本)9781665459426

the vehicle-mounted cameras provide video streaming information for the post-processing phase of the intelligent vehicle, such as control and decision making. According to the characteristics of in-vehicle videos, this paper studies a video stabilization algorithm considering different depths of field. On the motion estimation stage, for the problem of inaccurate estimation inter-frame motion vectors caused by different depths of field of feature points, this paper proposes a method to repair inter-frame motion vectors. the method can correct the feature point position of the current frame and improve the estimation accuracy of the global motion vector. In the motion smoothing phase, a real-time online optimization framework and adaptive weights are used to balance the relationship between motion smoothing and motion following. Experiments prove that the accuracy of motion estimation of the algorithm in this paper is better than other improved algorithm, and the average value of PSNR after video stabilization is increased by more than 3dB compared with the original videos.

关键词： Smoothing methods Intelligent vehicles Motion estimation Decision making Estimation Streaming media Maintenance engineering

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A Study of Workpiece Targeting Based on Improved Blob Analysis 5

A Study of Workpiece Targeting Based on Improved Blob Analys...

引用

5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Chen, Wei Li, Zechen Zhang, Jing Yi, BaiCheng Qingdao University of Science and Technology School of Automation and Electrical Engineering Qingdao China Qingdao Beihai Shipbuilding Heavy Industry Co. LTD. Qingdao Beihai Shipbuilding Heavy Industry Co. LTD. Qingdao China

ISBN: (纸本)9781728198880

In order to meet the accurate positioning of the target workpiece by the industrial robot and obtain the workpiece coordinate information. In this paper, taking a circular workpiece as an example, a targeting study based on the Blob analysis algorithm is presented. Image threshold segmentation, connectivity analysis and other methods are used to complete the positioning of the workpiece target. To further improve the target localization accuracy, edge detection operators and curve fitting methods are introduced to improve the original Blob analysis algorithm. the experimental results show that this method can obtain the coordinate information of the target workpiece more accurately, and the accuracy can meet the robotic grasping needs of the industrial field. © 2020 IEEE.

关键词： Computer vision

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SuperPointVO: A Lightweight Visual Odometry based on CNN Feature Extraction 5

SuperPointVO: A Lightweight Visual Odometry based on CNN Fea...

引用

2020 5th international conference on automation, Control and robotics Engineering (CACRE)

作者： Xiao Han Yulin Tao Zhuyi Li Ruping Cen Fangzheng Xue College of Automation Chongqing University

ISBN: (数字)9781728198880

ISBN: (纸本)9781728198897

In this paper, we propose a lightweight stereo visual odometry(SuperPointVO) based on feature extraction of convolutional neural network(CNN). Compared with the traditional indirect method of VO system, our system replace the handengineered feature extraction method with a CNN-based *** on the feature extraction network SuperPoint, we discard the redundant descriptor information it extracted, and expand the expression ability of the descriptor through NMS and grid sampling, making it more suitable for VO tasks. We build a complete stereo VO system without loop closing around the modified feature extractor. In the experiments, we evaluate the performance of the system on the KITTI dataset, which is close to other state-of-the-art stereo SLAM system. this shows that the accuracy and robustness of feature extraction methods based on deep learning are comparable to, or even better than the traditional methods in VO tasks.

关键词： SLAM Visual Odometry CNN feature extraction

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Adaptive Positioning System Design Using AR Markers and Machine Learning for Mobile Robot 5

Adaptive Positioning System Design Using AR Markers and Mach...

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5th international conference on Computer Science and Engineering (UBMK)

作者： Seckin, Ahmet Cagdas Adnan Menderes Univ Comp Engn Dept Aydin Turkey

ISBN: (数字)9781728175652

ISBN: (纸本)9781728175652

Positioning is an important issue in areas such as navigation, robotics, automation, aerospace and aviation. Indoor positioning systems are becoming increasingly important, especially in areas such as industry, resource management and crowd sourcing. the study a system for mobile robot positioning is designed, the working area is fixed, but the visual positioning system can be moved. the site estimate of the designed system was carried out by Machine Learning. Successful results were achieved with the MLP and SVM methods used. It has been observed that MLP type networks provide lower RMSE values due to the algorithms used in position estimation. Although this value is taken from very different positions and from different angles, the achievement of low results proves the adaptability of the system. Long-term operation of the designed system was also tested and it was observed that the system was able to estimate the position of the robot that passed the route points with an average error of 0.895 cm.

关键词： positioning augmented reality robotics machine learning image processing

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A five-way directional soft valve with a case study: A starfish like soft robot 5

A five-way directional soft valve with a case study: A starf...

引用

5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Zou, JiaKang Yang, MengKe Jin, GuoQing Soochow University Robotics and Microsystems Research Center Soochow China

ISBN: (纸本)9781728198880

Soft robots can adapt their shape to move through narrow gaps in ways a rigid robot cannot because of their compliance, but most of pneumatic and hydraulic soft robots are still relay on conventional hard valve and it hinder soft robots to completely achieve this. Here we describe a newly quake-typel five-way soft valve. this valve is only 47g and each way of the valve can be controlled individually. When vacuum is applied to the control chamber of the valve, the membranes will be pulled into control chamber and flow can be free to flow. To shape the complicated internal channels of the soft valve, a newly molding technique, which use soluble structure (PVA) as molding cores, was proposed. Compared with the previous soft valves, the soft valve can achieve more complicated function. A starfish-like soft robot was designed and manufactured to illustrate how the soft valve control its bending and stretching. © 2020 IEEE.

关键词： Molding

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Developing Algorithms for Personalized Recommendations Based on User Behavior

Developing Algorithms for Personalized Recommendations Based...

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international conference on Inventive Research in Computing Applications (ICIRCA)

作者： M. Sangeetha B Srinivasa Kumar K Chokkanathan Ashok Kumar S. Krishna Prabha Sivakumar Sattanathan J K Periasamy Department of Computer Science Dr.N.G.P. Arts and Science College Coimbatore Tamil Nadu India Department of Engineering Mathematics Koneru Lakshmaiah Education Foundation Guntur(D.T) Andhra Pradesh India Department of AI Madanapalle Institute of Technology and Science Madanapalle Andhra Pradesh India Department of Computer Science BanasthaliVidyapith Rajasthan India Department of Mathematics PSNA College of Engineering and Technology (Autonomous) Dindigul Tamil Nadu India Department of Mechatronics Engineering Centre for Automation and Robotics (ANRO) Hindustan Institute of Technology and Science Chennai Tamil Nadu India Department of Computer Science and Engineering Sri Sairam Engineering College Chennai Tamil Nadu India

To enhance the performance of user personalized recommendation algorithms, this study offers a user personalized recommendation calculation based on deep learning network. Efficient and accurate personalized recommendation algorithms can effectively increase user experience fulfillment. Considering user behavior, this research suggests a useful advice. We offer a preference network that might gather user preferences based on item qualities since customers intuitively convey their considerations based on some specific attributes of items. Moreover, weighted affiliation rules are used to identify these patterns to enhance the nature of recommendations because there are some sequential patterns in item purchases. We offer a preference network that might gather user preferences based on item qualities since customers intuitively convey their contemplations based on some specific attributes of items. Moreover, weighted affiliation rules are used to identify these patterns to enhance the nature of recommendations because there are some sequential patterns in item purchases. the methodology solves the sparsity problem and outperforms existing algorithms. Implementing a user behavior-based recommendation method, which gauges users' interests based on certain evaluations of item qualities, is the primary commitment. Furthermore, this strategy makes use of a sequential purchase pattern to raise the caliber of recommendations.

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A Review of Utility and Cost Functions Used in Frontier-Based Exploration Algorithms 5

A Review of Utility and Cost Functions Used in Frontier-Base...

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5th international conference on robotics and automation Engineering, ICRAE 2020

作者： Da Silva Lubanco, Daniel Louback Pichler-Scheder, Markus Schlechter, thomas Scherhaufl, Martin Kastl, Christian Sensors and Communication Linz Center of Mechatronics GmbH Linz Austria Automotive Mechatronics and Management University of Applied Sciences Upper Austria Wels Austria

ISBN: (纸本)9781728189819

Frontier-based exploration can be used in a wide-range of robotics applications. For example, a common utilization of exploration algorithms is in Urban Search and Rescue (USAR). In order to define the next place a robot shall visit, cost or utility functions in frontier-based exploration are often employed. In this paper we compare five different cost or utility functions known in the scientific community which are used in frontierbased exploration algorithms. this paper seeks to address two main goals: (1) to provide and explain utility and cost functions which are used in the exploration problem along with steps of how to implement them;(2) to show the results of each algorithm using a simulated environment. Finally, a discussion about the peculiarities and notable differences between the exploration methods as well as the consequences of their differences is presented. © 2020 IEEE.

关键词： robotics

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Dynamic Visual SLAM Based on Semantic Information and Multi-View Geometry 5

Dynamic Visual SLAM Based on Semantic Information and Multi-...

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5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Shi, Junyi Zha, Fusheng Guo, Wei Wang, Pengfei Li, Mantian Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9781728198880

Visual Simultaneous Localization and Mapping (Visual SLAM) is considered to be one of the important foundations for mobile robots to move toward intelligence, which gives robots the ability to autonomously locate and construct maps in an unknown environment. In the past decades, great progress has been made in the field of visual SLAM, relatively mature algorithm system and program architecture are gradually developed. However, the current researches on visual SLAM mostly assume that the surrounding environment is static, which greatly limits the application of SLAM systems in real world. Aiming at the urgent need of mobile robots for precise localization and map construction in dynamic environment, methods are proposed in this paper. Image semantic segmentation based on deep learning and multi-view geometry methods are combined to recognize and segment moving objects. Only background features are used for camera tracking to avoid the impact of moving objects. Furthermore, an experimental platform is built using RGB-D camera and motion capture device, the effectiveness of the algorithm is verified by public datasets and real scene data. © 2020 IEEE.

关键词： Semantics

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MYOELECTRIC CONTROL OF ROBOTIC LEG PROSthESES AND EXOSKELETONS: A REVIEW 45

MYOELECTRIC CONTROL OF ROBOTIC LEG PROSTHESES AND EXOSKELETO...

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ASME international Design Engineering Technical conferences / 41st Annual Computers and Information in Engineering conference (IDETC-CIE) / 45th Mechanisms and robotics conference (MR)

作者： Nasr, Ali Laschowski, Brokoslaw McPhee, John Univ Waterloo Dept Syst Design Engn Mot Res Grp Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9780791885444

Myoelectric signals from the human motor control system can improve the real-time control and neural-machine interface of robotic leg prostheses and exoskeletons for different locomotor activities (e.g., walking, sitting down, stair ascent, and non-rhythmic movements). Here we review the latest advances in myoelectric control designs and propose future directions for research and innovation. We review the different wearable sensor technologies, actuators, signal processing, and pattern recognition algorithms used for myoelectric locomotor control and intent recognition, with an emphasis on the hierarchical architectures of volitional control systems. Common mechanisms within the control architecture include 1) open-loop proportional control with fixed gains, 2) active-reactive control, 3) joint mechanical impedance control, 4) manual-tuning torque control, 5) adaptive control with varying gains, and 6) closed-loop servo actuator control. Based on our review, we recommend that future research consider using musculoskeletal modeling and machine learning algorithms to map myoelectric signals from surface electromyography (EMG) to actuator joint torques, thereby improving the automation and efficiency of next-generation EMG controllers and neural interfaces for robotic leg prostheses and exoskeletons. We also propose an example model-based adaptive impedance EMG controller including muscle and multibody system dynamics. Ongoing advances in the engineering design of myoelectric control systems have implications for both locomotor assistance and rehabilitation.

关键词： Prostheses robotics Exoskeleton devices Electromyography Actuators Algorithms Control systems Control equipment Signals Torque control Multibody systems Musculoskeletal system Innovation Machine learning Intent recognition Servomechanisms Adaptive control Motor controls Engineering design Mechanical impedance Dynamics (Mechanics) Machinery Stairs Sensors Modeling Real-time control Muscle Pattern recognition Signal processing Architecture

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