Pub Date : 2017-10-01DOI: 10.1109/IRIS.2017.8250105
Elyse Hill, Andrew S. Lee, S. Gadsden, M. Al-Shabi
The Kalman filter (KF) has drastically changed and formed the field of state and parameter estimation theory and has impacted a number of applications: spacecraft, GPS, fault detection and diagnosis, stock market analysis, cell phones, autonomous vehicles, to name only a few. A statistically optimal solution for known linear systems is provided by the KF, in the presence of Gaussian white noise. However, the optimality of the KF affects numerical stability and robustness. A number of linear and nonlinear forms of the KF have been introduced to overcome numerical, stability, and nonlinearity issues. In recent years, intelligent or cognitive-based KFs have been proposed. Intelligent filters generally include adaptive gains and feedback for improved estimation accuracy and robustness. These types of filters are typically more robustness to modeling uncertainties and disturbances. This paper provides a comparison of two popular KF methods: fuzzy-based and machine learning-based. These strategies are applied on a flight surface system and the estimation results are compared and discussed. Future trends in intelligent estimation theory are also considered.
{"title":"Intelligent estimation strategies applied to a flight surface actuator","authors":"Elyse Hill, Andrew S. Lee, S. Gadsden, M. Al-Shabi","doi":"10.1109/IRIS.2017.8250105","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250105","url":null,"abstract":"The Kalman filter (KF) has drastically changed and formed the field of state and parameter estimation theory and has impacted a number of applications: spacecraft, GPS, fault detection and diagnosis, stock market analysis, cell phones, autonomous vehicles, to name only a few. A statistically optimal solution for known linear systems is provided by the KF, in the presence of Gaussian white noise. However, the optimality of the KF affects numerical stability and robustness. A number of linear and nonlinear forms of the KF have been introduced to overcome numerical, stability, and nonlinearity issues. In recent years, intelligent or cognitive-based KFs have been proposed. Intelligent filters generally include adaptive gains and feedback for improved estimation accuracy and robustness. These types of filters are typically more robustness to modeling uncertainties and disturbances. This paper provides a comparison of two popular KF methods: fuzzy-based and machine learning-based. These strategies are applied on a flight surface system and the estimation results are compared and discussed. Future trends in intelligent estimation theory are also considered.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124837567","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250106
Jinho Kim, Stephanie Bonadies, Andrew Lee, S. Gadsden
This paper proposes a cooperative robot exploration (CREI strategy which is based on the sensor-based random tree (SKT) method. The proposed CRE strategy is for exploring unknown environments with a team of mobile robots equipped with range finder sensors. An existing backtracking technique for frontier-based exploration involves moving back through inefficient routes. To enhance the efficiency of the backtracking algorithm, a hub node is defined and the most direct backtracking route is generated using its frontier data. Numerical simulations demonstrate that the proposed strategy enables exploration of unknown environments by robots more efficiently than other common methods.
{"title":"A cooperative exploration strategy with efficient backtracking for mobile robots","authors":"Jinho Kim, Stephanie Bonadies, Andrew Lee, S. Gadsden","doi":"10.1109/IRIS.2017.8250106","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250106","url":null,"abstract":"This paper proposes a cooperative robot exploration (CREI strategy which is based on the sensor-based random tree (SKT) method. The proposed CRE strategy is for exploring unknown environments with a team of mobile robots equipped with range finder sensors. An existing backtracking technique for frontier-based exploration involves moving back through inefficient routes. To enhance the efficiency of the backtracking algorithm, a hub node is defined and the most direct backtracking route is generated using its frontier data. Numerical simulations demonstrate that the proposed strategy enables exploration of unknown environments by robots more efficiently than other common methods.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127137538","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250118
Leo Woiceshyn, Yuchi Wang, G. Nejat, B. Benhabib
Social robots can assist individuals with performing a number of different daily tasks. One such task, which has not been extensively explored, is suggesting appropriate clothing to an individual. This paper presents a novel, autonomous, clothing recommendation system that employs social robots. The proposed system can autonomously recommend options, from a user's wardrobe, that are personalized to an activity at hand. The novelty of the system lies in its ability to learn from the individual users' preferences over time. The learning-based personalization feature allows the system to assist new users as well as adapt to users whose preferences change over time. Human-robot interaction studies were conducted to assess both the performance of the overall system as well as its potential long-term adaptability.
{"title":"Personalized clothing recommendation by a social robot","authors":"Leo Woiceshyn, Yuchi Wang, G. Nejat, B. Benhabib","doi":"10.1109/IRIS.2017.8250118","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250118","url":null,"abstract":"Social robots can assist individuals with performing a number of different daily tasks. One such task, which has not been extensively explored, is suggesting appropriate clothing to an individual. This paper presents a novel, autonomous, clothing recommendation system that employs social robots. The proposed system can autonomously recommend options, from a user's wardrobe, that are personalized to an activity at hand. The novelty of the system lies in its ability to learn from the individual users' preferences over time. The learning-based personalization feature allows the system to assist new users as well as adapt to users whose preferences change over time. Human-robot interaction studies were conducted to assess both the performance of the overall system as well as its potential long-term adaptability.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123748296","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250141
J. Field, M. U. Salman
Actuator failure may severely affect the performance of mobile robots and vehicles. This study serves to evaluate how a mobile system responds under various actuator failure modes to determine appropriate methods to satisfy performance objectives. We evaluate a kinematically symmetric holonomic mobile robot while fully actuable (with no motor/wheel failures), as well as under actuator failure conditions. Closed-loop state feedback is applied to the system to observe performance and self-correction under both nominal and failure mode conditions, and resulting performance is evaluated. Observations of these conditions motivate the need to address failure modes within the controller architecture.
{"title":"Kinematic motion studies of an OmniDirectional mobile robot","authors":"J. Field, M. U. Salman","doi":"10.1109/IRIS.2017.8250141","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250141","url":null,"abstract":"Actuator failure may severely affect the performance of mobile robots and vehicles. This study serves to evaluate how a mobile system responds under various actuator failure modes to determine appropriate methods to satisfy performance objectives. We evaluate a kinematically symmetric holonomic mobile robot while fully actuable (with no motor/wheel failures), as well as under actuator failure conditions. Closed-loop state feedback is applied to the system to observe performance and self-correction under both nominal and failure mode conditions, and resulting performance is evaluated. Observations of these conditions motivate the need to address failure modes within the controller architecture.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127575772","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250136
Ammar Nathad, Jaya Rajwani
Motion stabilization of mobile robots has been a considerably large area of research in robotics and there are innumerous programming based solutions to cater this issue. It still becomes inconvenient to make wheeled mobile robots (WMR) move autonomously over distances without producing deduced (dead) reckoning error. The WMRs then fail to move without continuous control feedback systems resulting in systematic odometry error. A novel approach for attaining continuously synchronized drive motion and to produce a cost effective mechanical structure, without complex electronic feedback control system is the purpose of our research. This paper presents the existing solutions that have been in practice to mechanically reduce odometry error, a comparative analysis is then evaluated followed with the proposed design. Unlike conventional differential drive mechanisms, it is driven by two independent motors, one generates drive power to all the wheels for linear kinematics, and the other helps achieve the zero degrees rotation using bevel gear arrangement. The robot has the ability to move in a curved trajectory using two motors simultaneously. These mechanisms are electronically controlled by powering the motor, and engaging the electromagnetic clutch attached to the wheel as required. This shows that this robot is flexible and able to perform point-to-point motion effectively.
{"title":"A novel clutch coupled nonholonomic wheeled mobile robot mechanism to mechanically minimize deduced reckoning error","authors":"Ammar Nathad, Jaya Rajwani","doi":"10.1109/IRIS.2017.8250136","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250136","url":null,"abstract":"Motion stabilization of mobile robots has been a considerably large area of research in robotics and there are innumerous programming based solutions to cater this issue. It still becomes inconvenient to make wheeled mobile robots (WMR) move autonomously over distances without producing deduced (dead) reckoning error. The WMRs then fail to move without continuous control feedback systems resulting in systematic odometry error. A novel approach for attaining continuously synchronized drive motion and to produce a cost effective mechanical structure, without complex electronic feedback control system is the purpose of our research. This paper presents the existing solutions that have been in practice to mechanically reduce odometry error, a comparative analysis is then evaluated followed with the proposed design. Unlike conventional differential drive mechanisms, it is driven by two independent motors, one generates drive power to all the wheels for linear kinematics, and the other helps achieve the zero degrees rotation using bevel gear arrangement. The robot has the ability to move in a curved trajectory using two motors simultaneously. These mechanisms are electronically controlled by powering the motor, and engaging the electromagnetic clutch attached to the wheel as required. This shows that this robot is flexible and able to perform point-to-point motion effectively.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114533492","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250098
L. Van der Elst, Serket Quintanar-Guzman, J. Hadji-Minaglou
This research concerns the design and prototyping of an artificial middle finger, using Shape Memory Alloys (SMAs), PolyLactic Acid (PLA), and other technologies. The design is a biomimicry of the human biological anatomical and muscular systems. After briefly describing the operational features and functioning of natural striated muscles, the document reviews the features, advantages and disadvantages of SMAs in the perspective of their use as an actuator of a prosthetic finger. Using different design parameters, such as the lightness of the device, actuation complexity, and resilience, a working prototype is proposed meeting the established criteria.
{"title":"Design of an electromechanical prosthetic finger using shape memory alloy wires","authors":"L. Van der Elst, Serket Quintanar-Guzman, J. Hadji-Minaglou","doi":"10.1109/IRIS.2017.8250098","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250098","url":null,"abstract":"This research concerns the design and prototyping of an artificial middle finger, using Shape Memory Alloys (SMAs), PolyLactic Acid (PLA), and other technologies. The design is a biomimicry of the human biological anatomical and muscular systems. After briefly describing the operational features and functioning of natural striated muscles, the document reviews the features, advantages and disadvantages of SMAs in the perspective of their use as an actuator of a prosthetic finger. Using different design parameters, such as the lightness of the device, actuation complexity, and resilience, a working prototype is proposed meeting the established criteria.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123383478","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250121
N. Tsuda, Ami Morikawa, Y. Nomura, N. Kato
In this paper, an instruction system of calligraphy brushwork for apprentices is introduced. In order to write a well-shaped character, the brush is required to be operated skillfully. Calligraphy experts operate a brush in multi-degrees of freedom, however, for apprentices, it is tentatively required to control a brush in low-degree of freedom (a horizontal plane) as a beginning training. The reason is that the shape of a character becomes better to an extent by correcting a brushwork slightly, and a slight instruction in a horizontal plane enables this. In the authors' developed system, the motion of the student's brush (handwriting) is measured by Leapmotion, and if the brush goes far from the reference trajectory, the developed pressure presentation device stimulates the student's wrist as an instruction at the moment. Although the structure of the developed instruction system is so elementary, the system is expected that it can induce the student to correct the handwriting. For this purpose, calligraphy training experiments with several participants were carried out. The reaction times and the brush overruns from the reference trajectories for three kinds of pressure strength were measured during brushworks. As results, it was confirmed that the reaction times of participants and the brush overruns became shorter significantly, if the strength of the pressure presentation was strengthened.
{"title":"Pressure presentation strength for calligraphy brushwork instruction","authors":"N. Tsuda, Ami Morikawa, Y. Nomura, N. Kato","doi":"10.1109/IRIS.2017.8250121","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250121","url":null,"abstract":"In this paper, an instruction system of calligraphy brushwork for apprentices is introduced. In order to write a well-shaped character, the brush is required to be operated skillfully. Calligraphy experts operate a brush in multi-degrees of freedom, however, for apprentices, it is tentatively required to control a brush in low-degree of freedom (a horizontal plane) as a beginning training. The reason is that the shape of a character becomes better to an extent by correcting a brushwork slightly, and a slight instruction in a horizontal plane enables this. In the authors' developed system, the motion of the student's brush (handwriting) is measured by Leapmotion, and if the brush goes far from the reference trajectory, the developed pressure presentation device stimulates the student's wrist as an instruction at the moment. Although the structure of the developed instruction system is so elementary, the system is expected that it can induce the student to correct the handwriting. For this purpose, calligraphy training experiments with several participants were carried out. The reaction times and the brush overruns from the reference trajectories for three kinds of pressure strength were measured during brushworks. As results, it was confirmed that the reaction times of participants and the brush overruns became shorter significantly, if the strength of the pressure presentation was strengthened.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123770978","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250147
A. T. M. Nakamura, Luiz Ricardo Takeshi Horita, V. Grassi
Pedestrian detection is an important and challenging area in computer vision with the potential to save lives. Although many works have already been developed to improve performance of pedestrian detection algorithms, none have yet been able to handle detection from afar due to pedestrians' small scales on images. This prevents these algorithms to be reliably applied to autonomous vehicles to avoid accidents on fast moving traffic. In this context, this paper proposes a cameras setup, which consists of two stereo cameras with different focal lengths and baselines, allowing to have higher pedestrian resolutions on images for a larger range of distances in front of the vehicle. Experimental results reveal a considerable enhancement on the detection performance, overcoming the difficulty caused by the reduced scale that pedestrians have on images.
{"title":"A stereo cameras setup for pedestrian detection enhancement","authors":"A. T. M. Nakamura, Luiz Ricardo Takeshi Horita, V. Grassi","doi":"10.1109/IRIS.2017.8250147","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250147","url":null,"abstract":"Pedestrian detection is an important and challenging area in computer vision with the potential to save lives. Although many works have already been developed to improve performance of pedestrian detection algorithms, none have yet been able to handle detection from afar due to pedestrians' small scales on images. This prevents these algorithms to be reliably applied to autonomous vehicles to avoid accidents on fast moving traffic. In this context, this paper proposes a cameras setup, which consists of two stereo cameras with different focal lengths and baselines, allowing to have higher pedestrian resolutions on images for a larger range of distances in front of the vehicle. Experimental results reveal a considerable enhancement on the detection performance, overcoming the difficulty caused by the reduced scale that pedestrians have on images.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127075638","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250096
Md. Suruz Miah
This paper presents a value iteration based approximate dynamic programming technique to solve the trajectory tracking problem of unicycle like wheeled mobile robots. Given a reference trajectory (2D), an error model is derived to form a nonlinear affine system. The robot is supposed to track the reference trajectory asymptotically. The solution of the error model is used to define the value function (cost-to-go function), which is a measure of the robot's tracking error and the cost of applying its actuator inputs (in this case, linear and angular velocities of the robot). A critic neural network approximates the value function to determine the optimal control inputs that are applied to the robot's actuators. A set of computer simulations is conducted to evaluate the performance of the proposed approximate dynamic programming method. The robot's trajectory tracking performance using the proposed method is also compared with that of the conventional approximate linearization technique in order to show the superiority of the value iteration based approximate dynamic programming.
{"title":"Value iteration based approximate dynamic programming for mobile robot trajectory tracking with persistent inputs","authors":"Md. Suruz Miah","doi":"10.1109/IRIS.2017.8250096","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250096","url":null,"abstract":"This paper presents a value iteration based approximate dynamic programming technique to solve the trajectory tracking problem of unicycle like wheeled mobile robots. Given a reference trajectory (2D), an error model is derived to form a nonlinear affine system. The robot is supposed to track the reference trajectory asymptotically. The solution of the error model is used to define the value function (cost-to-go function), which is a measure of the robot's tracking error and the cost of applying its actuator inputs (in this case, linear and angular velocities of the robot). A critic neural network approximates the value function to determine the optimal control inputs that are applied to the robot's actuators. A set of computer simulations is conducted to evaluate the performance of the proposed approximate dynamic programming method. The robot's trajectory tracking performance using the proposed method is also compared with that of the conventional approximate linearization technique in order to show the superiority of the value iteration based approximate dynamic programming.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128545314","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 : 2017-10-01DOI: 10.1109/IRIS.2017.8250151
Rugayah Hashim, H. Yussof
Humanoids as a form of assistive technologies have been shown to have positive effects on the social-cognitive behavior of brain-impaired children, particularly those with autism. However, evidences on the socio-economic benefits in social-skill training on brain-impaired children have been lacking. At the preliminary stage, a case study of a primary school with special classes for gifted children is the case study for pretesting purposes. As it is, interviewers with teachers at the special integration classes form the basis for primary data collection. Findings indicated that the teachers, parents and guardians of these children are not ready for humanoids to train their children but in future such attempts are encouraged. Nonetheless, this paper will highlight the socio-economic benefits of humanoid-assisted social skills training of children with autism. This is important in preparing them for adulthood and independence. In addition, from the literature reviewed, content analyses on humanoid-mediated research articles provide the preliminary empirical support. Evidences and outcomes from similar research projects conducted from social scientists in developing nations further narrows the objectives of the investigation. Theoretical implication from this study is also discussed.
{"title":"Preparation for adulthood: Benefits of assistive technologies in social skills training of children with autism","authors":"Rugayah Hashim, H. Yussof","doi":"10.1109/IRIS.2017.8250151","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250151","url":null,"abstract":"Humanoids as a form of assistive technologies have been shown to have positive effects on the social-cognitive behavior of brain-impaired children, particularly those with autism. However, evidences on the socio-economic benefits in social-skill training on brain-impaired children have been lacking. At the preliminary stage, a case study of a primary school with special classes for gifted children is the case study for pretesting purposes. As it is, interviewers with teachers at the special integration classes form the basis for primary data collection. Findings indicated that the teachers, parents and guardians of these children are not ready for humanoids to train their children but in future such attempts are encouraged. Nonetheless, this paper will highlight the socio-economic benefits of humanoid-assisted social skills training of children with autism. This is important in preparing them for adulthood and independence. In addition, from the literature reviewed, content analyses on humanoid-mediated research articles provide the preliminary empirical support. Evidences and outcomes from similar research projects conducted from social scientists in developing nations further narrows the objectives of the investigation. Theoretical implication from this study is also discussed.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116112620","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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