Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625833
Karim Cherifi, K. Hariche
Model reduction is an active field of research. It is the approximation of dynamical systems into systems having the same behavior and properties but with smaller order. Model reduction techniques presented in the past [1]–[4] have tried to improve: storage, computational speed and accuracy. Most of the methods can be categorized into two main approaches: Krylov based subspaces and Truncation. Some of the methods proposed include: the Padé via lanczos method, the Arnoldi and Prima method, the Laguene method, the balanced truncation method, the optimal Hankel norm method and the Proper orthogonal decomposition (POD) method. In this contribution, we present a method for multi input multi output linear systems. This method is based on matrix polynomials and block poles. Other algorithms are based on the factorization of transfer functions by eliminating block poles. The main contribution of this method is the capability of eliminating multiple block poles at the same time. This method is particularly suitable if the given system is in matrix transfer function form. The presented method is implemented in MATLAB in order to provide a systematic method for the model order reduction of MIMO linear systems. In order to illustrate the use of this method in robotics, a simple application is presented.
模型约简是一个活跃的研究领域。它是将动力系统近似为具有相同行为和性质但阶数较小的系统。过去提出的模型约简技术[1]-[4]试图提高:存储、计算速度和准确性。大多数方法可以分为两种主要方法:基于Krylov的子空间和截断。提出的方法有:pad via lanczos法、Arnoldi和Prima法、Laguene法、平衡截断法、最优汉克尔范数法和适当正交分解法。在这篇贡献中，我们提出了一种多输入多输出线性系统的方法。该方法基于矩阵多项式和块极点。其他算法是基于传递函数的因式分解，通过消除块极点。该方法的主要贡献在于能够同时消除多个块极。这种方法特别适用于给定系统是矩阵传递函数形式的情况。该方法在MATLAB中实现，为MIMO线性系统的模型降阶提供了一种系统的方法。为了说明该方法在机器人中的应用，给出了一个简单的应用。
{"title":"Model Reduction Based on Matrix Polynomials","authors":"Karim Cherifi, K. Hariche","doi":"10.1109/ARSO.2018.8625833","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625833","url":null,"abstract":"Model reduction is an active field of research. It is the approximation of dynamical systems into systems having the same behavior and properties but with smaller order. Model reduction techniques presented in the past [1]–[4] have tried to improve: storage, computational speed and accuracy. Most of the methods can be categorized into two main approaches: Krylov based subspaces and Truncation. Some of the methods proposed include: the Padé via lanczos method, the Arnoldi and Prima method, the Laguene method, the balanced truncation method, the optimal Hankel norm method and the Proper orthogonal decomposition (POD) method. In this contribution, we present a method for multi input multi output linear systems. This method is based on matrix polynomials and block poles. Other algorithms are based on the factorization of transfer functions by eliminating block poles. The main contribution of this method is the capability of eliminating multiple block poles at the same time. This method is particularly suitable if the given system is in matrix transfer function form. The presented method is implemented in MATLAB in order to provide a systematic method for the model order reduction of MIMO linear systems. In order to illustrate the use of this method in robotics, a simple application is presented.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132305611","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625761
Tomoyuki Nakai, Yukihiro Nakamura, Takeshi Sasaki, N. Matsuhira
Service robots are needed for the aging society and many types of robot are needed in the community. We have developed the collaboration control system among robots, including different types of robots. Here, the same task by the same type of robot and the same task by different types of robots were conducted in an information structured environment, Kukanchi, built by common robot middleware.
{"title":"Collaborative robots system in a photography service using Kukanchi","authors":"Tomoyuki Nakai, Yukihiro Nakamura, Takeshi Sasaki, N. Matsuhira","doi":"10.1109/ARSO.2018.8625761","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625761","url":null,"abstract":"Service robots are needed for the aging society and many types of robot are needed in the community. We have developed the collaboration control system among robots, including different types of robots. Here, the same task by the same type of robot and the same task by different types of robots were conducted in an information structured environment, Kukanchi, built by common robot middleware.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114659447","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625800
Rebecca Funke, Naomi T. Fitter, Joyce T. de Armendi, N. Bradley, Barbara Sargent, M. Matarić, Beth A. Smith
Exploratory movements during infancy help typically developing infants learn the connections between their own actions and desired outcomes. In contrast, infants who are at risk for developmental delays often have neuromotor impairments that negatively influence their motivation for movement. The goal of this work is to expand our understanding of infant responses to non-contact interactions with a small humanoid robot. In the initial work presented here, we focus on understanding how this type of robotic system might help to encourage typically developing infant motor exploration. A data collection with N=9 infants compared infant reactions to four robot conditions: saying “yay” with arm movement, saying “kick” with leg movement, saying “yay” with no movement, and saying “kick” with no movement. The results indicate that infants visually gazed at the robot while it moved, looking specifically to the part of the robot that was moving. Infants tended to move more during periods of robot inactivity. When the robot was moving, the infants also seemed more alert. Overall, these results can inform future studies of how to develop interventions to encourage movement practice by typically developing and at-risk infants.
{"title":"A Data Collection of Infants’ Visual, Physical, and Behavioral Reactions to a Small Humanoid Robot","authors":"Rebecca Funke, Naomi T. Fitter, Joyce T. de Armendi, N. Bradley, Barbara Sargent, M. Matarić, Beth A. Smith","doi":"10.1109/ARSO.2018.8625800","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625800","url":null,"abstract":"Exploratory movements during infancy help typically developing infants learn the connections between their own actions and desired outcomes. In contrast, infants who are at risk for developmental delays often have neuromotor impairments that negatively influence their motivation for movement. The goal of this work is to expand our understanding of infant responses to non-contact interactions with a small humanoid robot. In the initial work presented here, we focus on understanding how this type of robotic system might help to encourage typically developing infant motor exploration. A data collection with N=9 infants compared infant reactions to four robot conditions: saying “yay” with arm movement, saying “kick” with leg movement, saying “yay” with no movement, and saying “kick” with no movement. The results indicate that infants visually gazed at the robot while it moved, looking specifically to the part of the robot that was moving. Infants tended to move more during periods of robot inactivity. When the robot was moving, the infants also seemed more alert. Overall, these results can inform future studies of how to develop interventions to encourage movement practice by typically developing and at-risk infants.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127373069","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625753
Osama Mazhar, S. Ramdani, B. Navarro, R. Passama
A physical Human-Robot Interaction (pHRI) framework is proposed using vision and force sensors for a two-way object hand-over task. Kinect v2 is integrated with the state-of-the-art 2D skeleton extraction library namely Openpose to obtain a 3D skeleton of the human operator. A robust and rotation invariant (in the coronal plane) hand gesture recognition system is developed by exploiting a convolutional neural network. This network is trained such that the gestures can be recognized without the need to pre-process the RGB hand images at run time. This work establishes a firm basis for the robot control using hand-gestures. This will be extended for the development of intelligent human intention detection in pHRI scenarios to efficiently recognize a variety of static as well as dynamic gestures.
{"title":"A Framework for Real-Time Physical Human-Robot Interaction using Hand Gestures","authors":"Osama Mazhar, S. Ramdani, B. Navarro, R. Passama","doi":"10.1109/ARSO.2018.8625753","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625753","url":null,"abstract":"A physical Human-Robot Interaction (pHRI) framework is proposed using vision and force sensors for a two-way object hand-over task. Kinect v2 is integrated with the state-of-the-art 2D skeleton extraction library namely Openpose to obtain a 3D skeleton of the human operator. A robust and rotation invariant (in the coronal plane) hand gesture recognition system is developed by exploiting a convolutional neural network. This network is trained such that the gestures can be recognized without the need to pre-process the RGB hand images at run time. This work establishes a firm basis for the robot control using hand-gestures. This will be extended for the development of intelligent human intention detection in pHRI scenarios to efficiently recognize a variety of static as well as dynamic gestures.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121065036","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625819
Sarah L. Miller-Abdelrazeq, Sebastian Stiehm, Max Haberstroh, F. Hees
Human-robot-interaction is slowly entering manufacturing and is expected to become more common in the future. It considers technological developments and preserves human workplaces at the same time. Robotic interaction can be implemented in lean as well as insular production.This paper analyzes the effects of cycle time in human-robot-interaction. In a pre-posttest-design an interactive assembly task is conducted either with cycle time or with self-determined pace. Results show significant differences in perceived task load. On the arousal or pleasure level, no effects of condition can be found. The results suggest that cycle time in human-robot-interaction induces temporal demand, frustration, effort, and a feeling of not being satisfied with their own performance.
{"title":"Perceived Effects of Cycle Time in Human-Robot-Interaction","authors":"Sarah L. Miller-Abdelrazeq, Sebastian Stiehm, Max Haberstroh, F. Hees","doi":"10.1109/ARSO.2018.8625819","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625819","url":null,"abstract":"Human-robot-interaction is slowly entering manufacturing and is expected to become more common in the future. It considers technological developments and preserves human workplaces at the same time. Robotic interaction can be implemented in lean as well as insular production.This paper analyzes the effects of cycle time in human-robot-interaction. In a pre-posttest-design an interactive assembly task is conducted either with cycle time or with self-determined pace. Results show significant differences in perceived task load. On the arousal or pleasure level, no effects of condition can be found. The results suggest that cycle time in human-robot-interaction induces temporal demand, frustration, effort, and a feeling of not being satisfied with their own performance.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115319635","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}
In this paper we report the methodology and the main results obtained in a co-design session with kids. We involved kids as co-designer helping us in shaping form and behavior of an educational robot we are developing in our HCI lab.
{"title":"Co-designing with kids an educational robot","authors":"Valerio Cietto, Cristina Gena, Ilaria Lombardi, Claudio Mattutino, Chiara Vaudano","doi":"10.1109/ARSO.2018.8625810","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625810","url":null,"abstract":"In this paper we report the methodology and the main results obtained in a co-design session with kids. We involved kids as co-designer helping us in shaping form and behavior of an educational robot we are developing in our HCI lab.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133977669","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625826
Gloria Beraldo, S. Battista, S. Badaloni, E. Menegatti, M. Pivetti
In this paper we investigate how the human sex could influence the perception of a social robot, supposed neutral and without applying possible manipulations. In addition we explore the kind of human-like actions people expect from a robot. We analyse twelve typical stereotypically male, female and neutral tasks in order to evaluate the possible interaction between the participant's sex and the robot's sex assignment. More precisely we study which of them, people consider a social robot able to do, could be useful for humans and/or they would like the robot to perform. In this regard, we found that the robot was perceived as more suitable in terms of usefulness for communication functions which include speaking, listening, talking, consistently with the human adjectives used by the participants to describe it (amiable, exhilarated, sociable, kind, sweet and brazen). The study involves young people, aged 19 years and older, who are not familiar with robotics.
{"title":"Sex differences in expectations and perception of a social robot","authors":"Gloria Beraldo, S. Battista, S. Badaloni, E. Menegatti, M. Pivetti","doi":"10.1109/ARSO.2018.8625826","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625826","url":null,"abstract":"In this paper we investigate how the human sex could influence the perception of a social robot, supposed neutral and without applying possible manipulations. In addition we explore the kind of human-like actions people expect from a robot. We analyse twelve typical stereotypically male, female and neutral tasks in order to evaluate the possible interaction between the participant's sex and the robot's sex assignment. More precisely we study which of them, people consider a social robot able to do, could be useful for humans and/or they would like the robot to perform. In this regard, we found that the robot was perceived as more suitable in terms of usefulness for communication functions which include speaking, listening, talking, consistently with the human adjectives used by the participants to describe it (amiable, exhilarated, sociable, kind, sweet and brazen). The study involves young people, aged 19 years and older, who are not familiar with robotics.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132386322","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625850
Lea M. Daling, Stefan Schröder, Max Haberstroh, F. Hees
The introduction of new forms of work within the ongoing development of Industry 4.0 and its technical implementation requires rethinking the concept of employee qualification. Since new technology, skills and competencies in future production are particularly related to increasing interaction with machines such as human-robot-collaboration, a closer investigation of qualification needs in this field is implicated. Based on literature review, this paper presents an overview on current approaches of employee qualification in the context of Industry 4.0 in order to deduce qualification needs in the domain of human-robot-collaboration. Considering the needs of different target groups and their specific tasks, the transferability of the qualification setting as well as the integration of new technology (such as Augmented and Virtual Reality), a theoretical framework is provided to systematically investigate different conditions of qualification in an experimental setting.
{"title":"Challenges and Requirements for Employee Qualification in the Context of Human-Robot-Collaboration","authors":"Lea M. Daling, Stefan Schröder, Max Haberstroh, F. Hees","doi":"10.1109/ARSO.2018.8625850","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625850","url":null,"abstract":"The introduction of new forms of work within the ongoing development of Industry 4.0 and its technical implementation requires rethinking the concept of employee qualification. Since new technology, skills and competencies in future production are particularly related to increasing interaction with machines such as human-robot-collaboration, a closer investigation of qualification needs in this field is implicated. Based on literature review, this paper presents an overview on current approaches of employee qualification in the context of Industry 4.0 in order to deduce qualification needs in the domain of human-robot-collaboration. Considering the needs of different target groups and their specific tasks, the transferability of the qualification setting as well as the integration of new technology (such as Augmented and Virtual Reality), a theoretical framework is provided to systematically investigate different conditions of qualification in an experimental setting.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116248698","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625724
Vanessa Budde, Nils Backhaus, P. H. Rosen, S. Wischniewski
Current developments suggest that robots are finding increasing use in people's everyday lives and working environments. However, these environments have been made for humans and are characterized by continuous change. At present, equipping robots with all the necessary skills to perform tasks in these complex environments autonomously appears to be a major challenge. One solution is for the robot to ask for help in overcoming its limitations and fulfilling its tasks. The current literature suggests that some robots are more successful than others in terms of requesting help. Certain influencing factors regarding the effectiveness of a robot's request for help have already been identified, such as ambiguity and politeness. In social psychology, the topic of helping behavior is a subject of discussion under the term prosocial behavior. We therefore conducted a within-subject online experiment, studying the effectiveness of seven requests for help, all of which were derived from prosocial behavior theory. We also studied the effects of perceived politeness and perceived ambiguity. The results indicate that a request for help which is polite, but is not perceived as ambiguous, encourages the greatest degree of willingness to help. The implications for research, design, and theory are also discussed.
{"title":"Needy Robots - Designing Requests for Help Using Insights from Social Psychology","authors":"Vanessa Budde, Nils Backhaus, P. H. Rosen, S. Wischniewski","doi":"10.1109/ARSO.2018.8625724","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625724","url":null,"abstract":"Current developments suggest that robots are finding increasing use in people's everyday lives and working environments. However, these environments have been made for humans and are characterized by continuous change. At present, equipping robots with all the necessary skills to perform tasks in these complex environments autonomously appears to be a major challenge. One solution is for the robot to ask for help in overcoming its limitations and fulfilling its tasks. The current literature suggests that some robots are more successful than others in terms of requesting help. Certain influencing factors regarding the effectiveness of a robot's request for help have already been identified, such as ambiguity and politeness. In social psychology, the topic of helping behavior is a subject of discussion under the term prosocial behavior. We therefore conducted a within-subject online experiment, studying the effectiveness of seven requests for help, all of which were derived from prosocial behavior theory. We also studied the effects of perceived politeness and perceived ambiguity. The results indicate that a request for help which is polite, but is not perceived as ambiguous, encourages the greatest degree of willingness to help. The implications for research, design, and theory are also discussed.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123397370","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}
Pub Date : 2018-09-01DOI: 10.1109/ARSO.2018.8625821
Ha-Duong Bui, N. Chong
This paper presents a novel approach to integrating humans and assistive robots into ECHONET-based smart home environments through a multi-modal user interface, toward mitigating nursing care problems in aging societies. We envision a socially assistive humanoid robot companion as a smart care home interface that will support independent living of the disabled and elderly. Especially, we improve and personalize human-robot interaction by endowing the robot with human-like social skills (i.e. natural language processing, user emotion estimation, etc.). Moreover, universAAL, which is an open platform for Ambient Assisted Living (AAL) solution, is employed to connect various components, devices, and services in the proposed software framework. The ECHONET-based smart home environment, iHouse, with the extended AAL solution provides an efficient way to improve the quality of life of smart home residents. We have confirmed that a humanoid robot companion can gain access to the iHouse network and provide user-requested data and services through verbal and nonverbal interaction with the support of various effective techniques of computational intelligence.
{"title":"An Integrated Approach to Human-Robot-Smart Environment Interaction Interface for Ambient Assisted Living","authors":"Ha-Duong Bui, N. Chong","doi":"10.1109/ARSO.2018.8625821","DOIUrl":"https://doi.org/10.1109/ARSO.2018.8625821","url":null,"abstract":"This paper presents a novel approach to integrating humans and assistive robots into ECHONET-based smart home environments through a multi-modal user interface, toward mitigating nursing care problems in aging societies. We envision a socially assistive humanoid robot companion as a smart care home interface that will support independent living of the disabled and elderly. Especially, we improve and personalize human-robot interaction by endowing the robot with human-like social skills (i.e. natural language processing, user emotion estimation, etc.). Moreover, universAAL, which is an open platform for Ambient Assisted Living (AAL) solution, is employed to connect various components, devices, and services in the proposed software framework. The ECHONET-based smart home environment, iHouse, with the extended AAL solution provides an efficient way to improve the quality of life of smart home residents. We have confirmed that a humanoid robot companion can gain access to the iHouse network and provide user-requested data and services through verbal and nonverbal interaction with the support of various effective techniques of computational intelligence.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129187372","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}
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