Journal of Automation, Mobile Robotics and Intelligent Systems最新文献_第10页

Vibration Control Using a Modern Control System for Hybrid Composite Flexible Robot Manipulator Arm 基于现代控制系统的混合复合柔性机械臂振动控制

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-05-01 DOI: 10.14313/jamris-2-2022-14

S. Ramalingam, S. Mohideen

引用次数: 0

Coverage Control of Mobile Wireless Sensor Networks with Distributed Locations of High Interest 高兴趣点移动无线传感器网络的覆盖控制

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-05-01 DOI: 10.14313/jamris/2-2022/18

Rudy Hanindito, A. Cahyadi, Prapto Nugroho

引用次数: 0

Fuzzy Automatic Control of the Pyrolysis Process for the Municipal Solid Waste of Variable Composition 变组分城市生活垃圾热解过程的模糊自动控制

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/9

O. Kozlov, Y. Kondratenko, Hanna Lysiuk, Viktoriia Kryvda, O. Maksymova

引用次数: 0

Prototype and Design of Six-Axis Robotic Manipulator 六轴机械臂的原型与设计

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/5

M. Pająk, Marcin Racław, R. Piotrowski

引用次数: 0

Processing of LiDAR and IMU Data for Target Detection and Odometry of a Mobile Robot 用于移动机器人目标检测和里程计的激光雷达和IMU数据处理

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/1

N. Giannoccaro, T. Nishida, A. Lay-Ekuakille, R. Velázquez, Paolo Visconti

{"title":"Processing of LiDAR and IMU Data for Target Detection and Odometry of a Mobile Robot","authors":"N. Giannoccaro, T. Nishida, A. Lay-Ekuakille, R. Velázquez, Paolo Visconti","doi":"10.14313/jamris/1-2022/1","DOIUrl":"https://doi.org/10.14313/jamris/1-2022/1","url":null,"abstract":"Abstract In this paper, the processing of the data of a 3D light detection and distance measurement (LiDAR) sensor mounted on a mobile robot is demonstrated, introducing an innovative methodology to manage the data and extract useful information. The LiDAR sensor is placed on a mobile robot which has a modular design that permits the easy change of the number of wheels, was designed to travel through several environments, and saves energy by changing the number and arrangement of the wheels in each environment. In addition, the robot can recognize landmarks in a structured environment by using a classification technique on each frame acquired by the LiDAR. Furthermore, considering the experimental tests, a new simple algorithm based on the LiDAR data processing together with the inertial data (IMU sensor) through a Kalman filter is proposed to characterize the robot’s pose by the surrounding environment with fixed landmarks. Finally, the limits of the proposed algorithm have been analyzed, highlighting new improvements in the future prospective development for permitting autonomous navigation and environment perception with a simple, modular, and low-cost device.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"48 1","pages":"3 - 13"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78174153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Migrating Monoliths to Microservices Integrating Robotic Process Automation into the Migration Approach 将机器人过程自动化集成到迁移方法中

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/8

B. Bamberger, Bastian Körber

引用次数: 0

Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants 一种改进的蚁群算法在食品加工厂订单调度中的应用

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/6

I. Korobiichuk, Hrybkov Serhii, O. Seidykh, V. Ovcharuk, A.V. Ovcharuk

{"title":"Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants","authors":"I. Korobiichuk, Hrybkov Serhii, O. Seidykh, V. Ovcharuk, A.V. Ovcharuk","doi":"10.14313/jamris/1-2022/6","DOIUrl":"https://doi.org/10.14313/jamris/1-2022/6","url":null,"abstract":"Abstract This developed modified ant colony algorithm includes an additional improvement with local optimization methods, which reduces the time required to find a solution to the problem of optimization of combinatorial order sequence planning in a food enterprise. The planning problem requires consideration of a number of partial criteria, constraints, and an evaluation function to determine the effectiveness of the established version of the order fulfillment plan. The partial criteria used are: terms of storage of raw materials and finished products, possibilities of occurrence and processing of substandard products, terms of manufacturing orders, peculiarities of fulfillment of each individual order, peculiarities of use of technological equipment, expenses for storage and transportation of manufactured products to the end consumer, etc. The solution of such a problem is impossible using traditional methods. The proposed algorithm allows users to build and reconfigure plans, while reducing the time to find the optimum by almost 20% compared to other versions of algorithms.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"28 1","pages":"53 - 61"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83814854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Autonomous Anomaly Detection System for Crime Monitoring and Alert Generation 犯罪监测与报警自动异常检测系统

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/7

Jyoti Kukad, Swapnil Soner, Sagar Pandya

{"title":"Autonomous Anomaly Detection System for Crime Monitoring and Alert Generation","authors":"Jyoti Kukad, Swapnil Soner, Sagar Pandya","doi":"10.14313/jamris/1-2022/7","DOIUrl":"https://doi.org/10.14313/jamris/1-2022/7","url":null,"abstract":"Abstract Nowadays, violence has a major impact in society. Violence metrics increasing very rapidly reveal a very alarming situation. Many violent events go unnoticed. Over the last few years, autonomous vehicles have been used to observe and recognize abnormalities in human behavior and to classify them as crimes or not. Detecting crime on live streams requires classifying an event as a crime or not a crime and generating alerts to designated authorities, who can in turn take the required actions and assess the security of the city. There is currently a need for this kind of effective techniques for live video stream processing in computer vision. There are many techniques that can be used, but Long Short-Term Memory (LSTM) networks and OpenCV provide the most accurate prediction for this task. OpenCV is used for the task of object detection in computer vision, which will take the input from either a drone or any autonomous vehicle. LSTM is used to classify any event or behavior as a crime or not. This live stream is also encrypted using the Elliptic curve algorithm for more security of data against any manipulation. Through its ability to sense its surroundings, an autonomous vehicle is able to operate itself and execute critical activities without the need for human interaction. Much crowd-based crimes like mob lynching and individual crimes like murder, burglary, and terrorism can be protected against with advanced deep learning-based Anamoly detection techniques. With this proposed system, object detection is possible with approximately 90% accuracy. After analyzing all the data, it is sent to the nearest concern department to provide the remedial approach or protect from any crime. This system helps to enhance surveillance and decrease the crime rate in society.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"184 1","pages":"62 - 71"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75677851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Selection of Manipulator Configuration for a Portable Robot for Special Tasks 特殊任务便携式机器人机械手构型选择

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/3

Tomasz Krakówka, A. Typiak, M. Cader

引用次数: 1

A Scalable Tree Based Path Planning for a Service Robot 基于可扩展树的服务机器人路径规划

Journal of Automation, Mobile Robotics and Intelligent Systems Pub Date : 2022-03-01 DOI: 10.14313/jamris/1-2022/4

A. Kumaar, Sreeja Kochuvila, S. Nagaraja

{"title":"A Scalable Tree Based Path Planning for a Service Robot","authors":"A. Kumaar, Sreeja Kochuvila, S. Nagaraja","doi":"10.14313/jamris/1-2022/4","DOIUrl":"https://doi.org/10.14313/jamris/1-2022/4","url":null,"abstract":"Abstract Path planning plays a vital role in a mobile robot navigation system. It essentially generates the shortest traversable path between two given points. There are many path planning algorithms that have been proposed by researchers all over the world; however, there is very little work focussing on path planning for a service environment. The general assumption is that either the environment is fully known or unknown. Both cases would not be suitable for a service environment. A fully known environment will restrict further expansion in terms of the number of navigation points and an unknown environment would give an inefficient path. Unlike other environments, service environments have certain factors to be considered, like user-friendliness, repeatability, scalability, and portability, which are very essential for a service robot. In this paper, a simple, efficient, robust, and environment-independent path planning algorithm for an indoor mobile service robot is presented. Initially, the robot is trained to navigate to all the possible destinations sequentially with a minimal user interface, which will ensure that the robot knows partial paths in the environment. With the trained data, the path planning algorithm maps all the logical paths between all the destinations, which helps in autonomous navigation. The algorithm is implemented and tested using a 2D simulator Player/Stage. The proposed system is tested with two different service environment layouts and proved to have features like scalability, trainability, accuracy, and repeatability. The algorithm is compared with various classical path planning algorithms and the results show that the proposed path planning algorithm is on par with the other algorithms in terms of accuracy and efficient path generation.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"29 1","pages":"31 - 45"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80072579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2