{"title":"Robotization as One of the Prospects for Electromobility in Belarus","authors":"Yankevich Natallia, Yankevich Stsiapan","doi":"10.31875/2409-9694.2019.06.3","DOIUrl":"https://doi.org/10.31875/2409-9694.2019.06.3","url":null,"abstract":"In order to create a competitive and resource-efficient transport system, the transport policy of the European Union provides for the achievement by 2030 of almost zero carbon dioxide content in the exhaust gases of vehicles used in large urban centers, and by 2050 the phasing out the use of cars, working on traditional fuels. The Republic of Belarus has a high scientific and sufficient industrial potential to participate in the process of promoting electric mobility, taking into account the use of robotics. JSC \"Instrument-Making Plant Optron\" developed the working documentation and produced prototypes of typical representatives of the line of personal electric vehicles. However, the ongoing research focused on the creation of a preventive diagnostic system for the electric motorcycle, developed by Belarussian researches and its intelligent onboard system, focused primarily on real-time simulation processes, related specifically to the level of artificial intelligence, and on the implementation of executive level algorithms.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126918612","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}
{"title":"How to Build a Linkage between High-Quality Assurance Production System and Production Support Automated System","authors":"H. Sakai, K. Amasaka","doi":"10.31875/2409-9694.2021.08.3","DOIUrl":"https://doi.org/10.31875/2409-9694.2021.08.3","url":null,"abstract":"To maintain the planned production volume for potential disaster, the Japanese manufacturing industry needs to develop and rebuilt the global product that is to strengthen QCD (Quality, Cost, and Delivery). The keys to fulfilling this need are automated facility, human skills to operate the facility (production operator), and a production system incorporated with production data systems that activate the facility and human system subject to each overseas plant conditions. Therefore, the author has created a new system that ensures the necessity of building a new production system for global production, eliminates ambiguity among the processes of production planning, production preparation, production and process control, and formalizes and builds the linkage among the processes. This paper is to reveal the effectiveness of the above-specified objectives of the newly created systems. Especially the highly accurate robot production system has been tested and confirmed at Toyota Motor Corporation.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"8 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116759754","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}
{"title":"Computational Robotics: An Alternative Approach for Predicting Terrorist Networks","authors":"E. Nwanga, K C OKAFOR, G. Chukwudebe, I. Achumba","doi":"10.31875/2409-9694.2021.08.1","DOIUrl":"https://doi.org/10.31875/2409-9694.2021.08.1","url":null,"abstract":"Increasing terrorist activities globally have attracted the attention of many researchers, policy makers and security agencies towards counterterrorism. The clandestine nature of terrorist networks have made them difficult for detection. Existing works have failed to explore computational characterization to design an efficient threat-mining surveillance system. In this paper, a computationally-aware surveillance robot that auto-generates threat information, and transmit same to the cloud-analytics engine is developed. The system offers hidden intelligence to security agencies without any form of interception by terrorist elements. A miniaturized surveillance robot with Hidden Markov Model (MSRHMM) for terrorist computational dissection is then derived. Also, the computational framework for MERHMM is discussed while showing the adjacency matrix of terrorist network as a determinant factor for its operation. The model indicates that the terrorist network have a property of symmetric adjacency matrix while the social network have both asymmetric and symmetric adjacency matrix. Similarly, the characteristic determinant of adjacency matrix as an important operator for terrorist network is computed to be -1 while that of a symmetric and an asymmetric in social network is 0 and 1 respectively. In conclusion, it was observed that the unique properties of terrorist networks such as symmetric and idempotent property conferred a special protection for the terrorist network resilience. Computational robotics is shown to have the capability of utilizing the hidden intelligence in attack prediction of terrorist elements. This concept is expected to contribute in national security challenges, defense and military intelligence.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557634","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}
{"title":"Automated Agricultural Robot and Sensor Data Collection and Analysis through a Biomass Feedstock Production Information System","authors":"Konstantinos Domdouzis","doi":"10.15377/2409-9694.2021.08.2","DOIUrl":"https://doi.org/10.15377/2409-9694.2021.08.2","url":null,"abstract":"The increasing environmental pollution resulting from the use of non-renewable fossil fuels as well as the development of economic dependencies among countries because of the lack of such types of fuels underline the intense need for the use of sustainable forms of energy. Biomass derived biofuels provide such an alternative. The main tasks of biomass feedstock production are planting and cultivation, harvest, storage, and transportation. A number of complex decisions characterize each of these tasks. These decisions are related to the monitoring of crop health, the improvement of crop productivity using innovative technologies, and the examination of limitations in existing processes and technologies associated with biomass feedstock production. Other critical issues are the development of sustainable methods for the delivery of the biomass while maintaining product quality. There is the need for the development of an automated integrated research tool based on resilience and sustainability which will allow the coordination of different research fields but also perform research on its own. The specific tool should aim in the optimization of different parameters which specify the research done and in the case of biomass feedstock production; such parameters are the transportation of biomass from the field to the biorefinery, the equipment used, and the biomass storage conditions. This optimization would enhance decision making in the field of bioenergy production. Based on the need for such an automated integrated research tool, this paper presents an information system that provides automated functionalities for better decision making in the bioenergy production field based on the collection and analysis of agricultural robot and sensor data.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128288311","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}
Haiyan Shao, Han Zhaocui, Xiaohui Wang, Z. Dong, Chao Geng, Ruilan Song
{"title":"Design of Electronic Moxibustion Instrument for Umbilical Therapy and Preliminary Analysis of Temperature Field","authors":"Haiyan Shao, Han Zhaocui, Xiaohui Wang, Z. Dong, Chao Geng, Ruilan Song","doi":"10.31875/2409-9694.2020.07.3","DOIUrl":"https://doi.org/10.31875/2409-9694.2020.07.3","url":null,"abstract":"Moxibustion has a history of thousands of years. Umbilical moxibustion achieves prevention and treatment of diseases through moxibustion at the golden section of the human body-the umbilicus. It has enough clinical practice experience. Traditional treatment methods have problems such as irritating smoke, uncontrollable temperature, experience-based, and difficult to quantify. Based on the principle of traditional umbilical moxibustion, a structural design of an electronic smokeless umbilical moxibustion instrument is proposed, which belongs to indirect moxibustion and has the advantages of smokeless, electric heating, portability, temperature monitoring and controllability. The internal heat transfer process of the moxibustion instrument is mainly heat convection and heat radiation. Based on ANSYS sof tware, the internal temperature field of the moxibustion instrument is analyzed, and the steady-state temperature distribution and the temperature change characteristic curve of different positions with time are obtained to verify the rationality of the structural design. At the same time, lay a research foundation for the measurable and quantifiable effects of moxibustion on umbilical therapy.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806375","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}
G. He, Xu Liang, Tingting Su, Can Huang, Lei Zhao, Quanliang Zhao
{"title":"Stabilizing a Class of Switched Nonholonomic Mechanical Systems","authors":"G. He, Xu Liang, Tingting Su, Can Huang, Lei Zhao, Quanliang Zhao","doi":"10.31875/2409-9694.2020.07.2","DOIUrl":"https://doi.org/10.31875/2409-9694.2020.07.2","url":null,"abstract":"Abstract: Structurally reconfigurable or variant robot systems can provide better mobility and environmental adaptability. In this paper it is shown that a class of nonholonomic constraints robot systems can be changed to a class of special linear time varying (LTV) systems, and by applying switching control strategy the control singular problems of nonholonomic systems caused by the local coordinates can be overcome, and provides a flexible approach of optimal motion planning for mobile robotic systems. For variant robot systems with switched discontinuous dynamics, it is shown that the switching control approaches can be used to stabilize a class of switched heterogeneous nonholonomic systems. Some numerical simulation results also demonstrate the effectiveness of the control strategy proposed in this paper.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115841623","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}
Shunli Xiao, J. Di, J. Zhang, Quanliang Zhao, G. He
{"title":"Operation Capability Analysis and Experiments of Underactuated Compliant Multi-Fingered Hands","authors":"Shunli Xiao, J. Di, J. Zhang, Quanliang Zhao, G. He","doi":"10.31875/2409-9694.2020.07.4","DOIUrl":"https://doi.org/10.31875/2409-9694.2020.07.4","url":null,"abstract":"In this paper, operation capabilities of underactuated compliant robot hands have been investigated based on the shape stability analysis of underactuated compliant fingers and operation modes analysis of human hands. It is shown that the operation modes of robot hands can be classified into two major classes, namely, enveloping grasp mode and pinch mode. For the two operation modes, two principles are respectively presented with regard to the mechanical design issues of the underactuated robot hands. According to the principles presented in this paper, a robot hand prototype with four underactuated compliant fingers has been fabricated. On the robot hand prototype, enveloping grasp capability of underactuated compliant robot hands has been verified by many experiments. For precision operations, a proposition is presented and it is shown that the prototype should be further improved.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114539922","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}
Amin Mechernene , Vincent Judalet, Ahmed Chaibet, Moussa Boukhnifer
{"title":"Motion Prediction and Risk Assessment for The Decision Making of Autonomous Vehicles","authors":"Amin Mechernene , Vincent Judalet, Ahmed Chaibet, Moussa Boukhnifer","doi":"10.31875/2409-9694.2018.05.5","DOIUrl":"https://doi.org/10.31875/2409-9694.2018.05.5","url":null,"abstract":"The last few years, the automotive industry sees the Autonomous Vehicles (AV) as a great opportunity to increase comfort and road safety. One of the most challenging tasks is to detect dangerous situations and react to avoid or, at least, mitigate accidents. This requires a prediction of the evolution of the traffic surrounding the vehicle. This paper is a survey of the methods used in Automotive engineering for predicting future trajectories and collision risk assessment. models of vehicles are classified from the simplest to the more complexes. These technologies aim to improve road safety by estimating the level of dangerousness of a situation to make decision to avoid collision or mitigate its consequences.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133282206","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}
Ladislav JuriSica, FrantiSek Duchoň, Martin Dekan, Andrej Babinec, Adam Sojka
{"title":"Concepts of Teleoperated Robots","authors":"Ladislav JuriSica, FrantiSek Duchoň, Martin Dekan, Andrej Babinec, Adam Sojka","doi":"10.31875/2409-9694.2018.05.2","DOIUrl":"https://doi.org/10.31875/2409-9694.2018.05.2","url":null,"abstract":"This paper provides basic overview of teleoperated robotic systems and their characteristics. The aim of the paper is not to describe such robotic systems in detail such as suggesting actual hardware and software, but to provide basic information, which has to be considered during the design and usage of such robot. Paper is focused on general description of functionality, characteristics and applications of teleoperated robots. Overview of potential use cases is provided with description of potential downfalls. Means of communication with the robot are discussed and elaborated with respect to reliability and safety. Available types of human to machine interfaces and sensor systems are listed and described considering reliability, safety and quality of control. Especially safety issues are highlighted, because such robots suffer from the involvement of humans in the control scheme. This paper comes to a conclusion that it is of primary importance to consider safety measures and stresses vulnerability of whole system introduced by operator and means of communication. In this paper is further stressed that in case of lost communication teleoperated robot must be able to either safely continue its function or stop. Future research will be focused on improving teleoperation via virtual reality, further improvement of autonomous features leaving operator only to decide which actions to perform and cloud computing.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122416743","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}
{"title":"fMRI: A Benediction to Neuroscience","authors":"Vijay Khare, Shaurya Singh, Neha Mehra, Shamim Akhter, Chakresh Kumar Jain","doi":"10.31875/2409-9694.2018.05.3","DOIUrl":"https://doi.org/10.31875/2409-9694.2018.05.3","url":null,"abstract":"Functional Magnetic Resonance Imaging (fMRI) is a looming technique utilized to study local brain functions in vivo on a large dimensional and temporal resolution. The technique is less expensive and completely noninvasive hence it has swiftly become one of the most preferred choices for brain mapping. It establishes on Magnetic Resonanc e Imaging and helps to identify neural correlations and brain-behavior relationship by detecting the changes in blood flow.fMRI is one of the most frequently used technique in the field of neuroscience which has provided researchers with unparalleled access to the brain in action.\u0000The imaging data generated from different neuroimaging techniques (primarily fMRI) is a time series data. A typical fMRI study provides huge volume of noisy data with a complex spatio-temporal correlation configuration. Statistics play a vital stint in apprehending the attributes of the data and gaining appropriate conclusions that can be used and understood by neuroscientists.The data is huge and is characterized by volume, velocity, variety and veracity. These attributes makes it fall under big data further raising the issues of big data analytics.\u0000Upcoming technologies such as cloud computing, Spark and massive parallel computational methods /algorithms could provide the possible solutions for analysis and mining of data. The review highlights fMRI as a source of Big Neuroimaging data, different databases & repositories where data is available, its role in healthcare, problems in the data analysis and how the present technologies provide possible solutions for data analysis.","PeriodicalId":234563,"journal":{"name":"International Journal of Robotics and Automation Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123743167","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}