{"title":"Perception Effects in Ground Robotic Tele-Operation","authors":"R. Stone, T. Schnieders, P. Zhong","doi":"10.4018/IJRAT.2018070103","DOIUrl":"https://doi.org/10.4018/IJRAT.2018070103","url":null,"abstract":"The focus of this article is perception affects and enhancement during ground robotic tele-operation. Three independent factors were studied, namely scale perception, distance perception, and orientation awareness. Enhancements for each factor was proposed, implemented, and evaluated. The results show that under remote perception conditions, where the operator was separated from the environment where the navigation took place, both distance perception and scale perception were significantly impaired as compared with that obtained under direct perception conditions. In addition, for each of the proposed enhancements designed for each critical factor, the corresponding factor was significantly improved. The broader impacts of this work can be applied to various human-robot collaborated applications, such as urban search and rescue. Applying the proposed enhancements will allow the operators to have fewer failures through hallways, doorways, or maneuvering around obstacles, as well as allowing a more accurate understanding of the area's layout when a map is not available.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128502035","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}
Y. Kostyuchenko, A. Kozlova, D. Movchan, O. Sedlerova, M. Yuschenko
{"title":"On the Uncertainty Control in the Complex Multiphysics Systems in the Task of Multi-Scale Stochastic GHG and Carbon Balance Modeling","authors":"Y. Kostyuchenko, A. Kozlova, D. Movchan, O. Sedlerova, M. Yuschenko","doi":"10.4018/IJRAT.2018070102","DOIUrl":"https://doi.org/10.4018/IJRAT.2018070102","url":null,"abstract":"The problem of uncertainty analysis in complex multi-component systems is considered. The problem of decision making with uncertainty in tasks modeling carbon balance and the analysis of greenhouse gas (GHG) emissions using satellite tools was considered. Approaches to decision making under uncertainty are described in terms of interval, fuzzy, and stochastic assessments. Different approaches and algorithms to calculate carbon and GHG emissions are described. For every algorithm, errors and uncertainties are analyzed and estimated. Algorithms for uncertainty analysis based on integrated interlinked models of the system are presented. Algorithms for the analysis of components of vegetation productivity assessment using satellite data are proposed. Uncertainty component analysis allows the understanding of important properties of the system studied, and its feedback as to its anthropogenic load and impact on the climate. It was demonstrated that the comprehensive analysis of uncertainties allows not only the reduction of errors, but new knowledge about the studied systems.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123061569","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":"Delivering Value in Procurement With Robotic Cognitive Automation (RCA) Services","authors":"Ruchira Teli","doi":"10.4018/IJRAT.2018070101","DOIUrl":"https://doi.org/10.4018/IJRAT.2018070101","url":null,"abstract":"Organizations are applying digitalization to increasing amounts of different organizational processes. The procurement sector is also changing and actively seeking better ways to enhance performance such as the automation of workflow processes, for example, robotic process automation (RPA). To meet this clear demand, the automation of workflow processes in organizations has been a rising trend during the past few years. The author analyzes the potential of RPA along with the cognitive technologies robotic cognitive automation-based (RCA) value creation through knowledge work digitalization in the procurement sector.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133483093","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":"Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal","authors":"Tahirou Djara, Abdoul Matine Ousmane, A. Vianou","doi":"10.4018/IJRAT.2018010101","DOIUrl":"https://doi.org/10.4018/IJRAT.2018010101","url":null,"abstract":"Emotion recognition is an important aspect of affective computing, one of whose aims is the study and development of behavioral and emotional interaction between human and machine. In this context, another important point concerns acquisition devices and signal processing tools which lead to an estimation of the emotional state of the user. This article presents a survey about concepts around emotion, multimodality in recognition, physiological activities and emotional induction, methods and tools for acquisition and signal processing with a focus on processing algorithm and their degree of reliability.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117206943","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":"Integrating Linear Physical Programming and Fuzzy Logic for Robot Selection","authors":"M. A. Ilgin","doi":"10.4018/IJRAT.2017070101","DOIUrl":"https://doi.org/10.4018/IJRAT.2017070101","url":null,"abstract":"An increasing number of companies are using robots to perform a variety of repetitive and hazourdous tasks. Existence of many different robot alternatives force companies to consider several conflicting criteria before determining the most suitable robot alternative. Researchers have developed various multi-criteria decision making based methodologies in order to assist the decision makers in robot selection process. However, those methodologies require decision makers to assign physically meaningless weights to evaluation criteria. This article eliminates this weight assignment process by proposing a robot selection methodology based on linear physical programming. In addition, fuzzy logic was integrated into the proposed approach in order to determine the preference values of subjective robot evaluation criteria. A numerical example is also provided in order to present the applicability of the proposed methodology.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115042736","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}
A. Campeau-Lecours, Hugo Lamontagne, Simon Latour, P. Fauteux, Véronique Maheu, François Boucher, Charles Deguire, Louis-Joseph Caron L'Ecuyer
{"title":"Kinova Modular Robot Arms for Service Robotics Applications","authors":"A. Campeau-Lecours, Hugo Lamontagne, Simon Latour, P. Fauteux, Véronique Maheu, François Boucher, Charles Deguire, Louis-Joseph Caron L'Ecuyer","doi":"10.4018/IJRAT.2017070104","DOIUrl":"https://doi.org/10.4018/IJRAT.2017070104","url":null,"abstract":"This article presents Kinova's modular robotic systems, including the robots JACO2 and MICO2, actuators and grippers. Kinova designs and manufactures robotics platforms and components that are simple, sexy and safe under two business units: Assistive Robotics empowers people living with disabilities to push beyond their current boundaries and limitations while Service Robotics empowers people in industry to interact with their environment more efficiently and safely. Kinova is based in Boisbriand, Quebec, Canada. Its technologies are exploited in over 25 countries and are used in many applications, including as service robotics, physical assistance, medical applications, mobile manipulation, rehabilitation, teleoperation and in research in different areas such as computer vision, artificial intelligence, grasping, planning and control interfaces. The article describes Kinova's hardware platforms, their different control modes position, velocity and torque, control features and possible control interfaces. Integration to other systems and application examples are also presented.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134621679","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":"A Computational, Cognitive, and Situated Framework for Emotional Social Simulations","authors":"Jordi Vallverdú, D. Casacuberta","doi":"10.4018/IJRAT.2017070102","DOIUrl":"https://doi.org/10.4018/IJRAT.2017070102","url":null,"abstract":"Human emotions and social processes are evolutionary intertwined, as the result of neuromodulatory mechanisms that define the nature of how bodies interact with the world and create strategies with other bodies and agents. This article presents the previous simulations of TPR, TPR 2.0 and The Game of Emotions. Ideas are also justified in order to achieve the next research level into social emotional simulations. This article describes a defense of the epistemological value of computer simulations for the analysis of emotions and social interactions. Finally, the elements of the model are described as well as is defined a basic sketch of the basic control algorithm.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133081413","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":"Autonomous Systems in a Military Context (Part 1): A Survey of the Legal Issues","authors":"Tim McFarland, Jai C. Galliott","doi":"10.4018/IJRAT.2016070103","DOIUrl":"https://doi.org/10.4018/IJRAT.2016070103","url":null,"abstract":"While some are reluctant to admit it, we are witnessing a fundamental shift in the way that advanced militaries conduct their core business of fighting. Increasingly autonomous 'unmanned' systems are taking on the 'dull, dirty and dangerous' roles in the military, leaving human war fighters to assume an oversight role or focus on what are often more cognitively demanding tasks. To this end, many military forces already hold unmanned systems that crawl, swim and fly, performing mine disposal, surveillance and more direct combat roles. Having found their way into the military force structure quite rapidly, especially in the United States, there has been extensive debate concerning the legality and ethicality of their use. These topics often converge, but what is legal will not necessarily be moral, and vice versa. The authors' contribution comes in clearly separating the two parts. In this paper, they provide a detailed survey of the legality of employing autonomous weapons systems in a military context.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122137264","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":"Overview of Search and Rescue from Robotics to Wireless Sensors and Robots Networks","authors":"S. Allali, Mahfoud Benchaïba","doi":"10.4018/IJRAT.2016070102","DOIUrl":"https://doi.org/10.4018/IJRAT.2016070102","url":null,"abstract":"In the recent years, many researchers have shown interest in developing search and rescue system composed of one or multiple robots, which have the mission of finding victims and identifying the potential hazards. To enhance the robotic systems there is a growing trend of integrating wireless sensor networks (WSNs) to robots and multi-robot systems, which gives more awareness of the environments. In the first part of this article, the authors present a review of robotic system and their environments in search and rescue systems. Additionally, they explain challenges related to these systems and tasks that a robot or a multi-robot system should execute to fulfil the search and rescue activities. As a second part, the authors expose the system that integrates WSNs with robots and the advantages that brings this latter. In addition, they cite tasks and missions that are achieved in a better way with a cooperation of WSN and robots. Furthermore, the authors expose and discuss the remarkable research, challenges and the open research challenges that includes this cooperation.","PeriodicalId":249760,"journal":{"name":"Int. J. Robotics Appl. Technol.","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123417832","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}