{"title":"Examining Social Robot Acceptability for Older Adults and People with Dementia","authors":"S. Whelan, D. Casey","doi":"10.5772/intechopen.98365","DOIUrl":"https://doi.org/10.5772/intechopen.98365","url":null,"abstract":"Social robots that aim to support the independence and wellbeing of older adults and people with dementia are being introduced into dementia care settings. However, the acceptability of robots varies greatly between people and the rate that robots are deployed into practice is currently low. This chapter defines robot acceptability and provides an overview of theoretical technology acceptance models. It reviews the empirical literature and identifies the individual and contextual factors that impact acceptability in relation to the needs of older adults and people with dementia, focusing on what potential robot users need to motivate them to accept robots into their everyday lives. Then the literature is discussed in the light of current discourses in gerontology, recommending what is needed to increase the acceptability of robots. The capacity of robots, to communicate in a human-like way needs to increase and robots need to be designed with in-depth end-user collaboration, to be person-centred and deployed in ways that enhance the strengths of people with dementia. Guidance for good practice in participatory design is provided. Longitudinal research that uses triangulated data from multiple sources. is recommended to identify the needs of individuals, significant others, and wider contextual factors.","PeriodicalId":426431,"journal":{"name":"Collaborative Robots [Working Title]","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125391926","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":"3D Printed Walking Robot Based on a Minimalist Approach","authors":"I. Chavdarov","doi":"10.5772/INTECHOPEN.97335","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97335","url":null,"abstract":"3D printing technology enables the design and testing of highly complex robot prototypes and joints. Here an original idea for a walking robot is presented, based on a minimalist approach. Although the robot has a simple mechanical structure using only 2 motors, it can walk, turn around its central axis and climb high obstacles. The simple design ensures higher reliability in terms of mechanics and control. A design principle is suggested, which minimizes power consumption during climbing. The kinematics and static conditions for overcoming an obstacle are analyzed and the movements of the robot are simulated. A 3D-printed prototype of the robot is created. It is used for experiments to test the efficiency of different materials and shapes for the robot’s feet when climbing. The results are ranked and compared with the efficiency of other walking robots.","PeriodicalId":426431,"journal":{"name":"Collaborative Robots [Working Title]","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125352009","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":"Safe Adaptive Trajectory Tracking Control of Robot for Human-Robot Interaction Using Barrier Function Transformation","authors":"Iman Salehi, G. Rotithor, Ashwin P. Dani","doi":"10.5772/INTECHOPEN.97255","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97255","url":null,"abstract":"In this chapter, safety methods in human-robot (HR) interaction/collaboration are presented. Ensuring the safety of humans, objects, or even the robot itself in the robot’s operating environment is one of the crucial aspects of collaborative robotics. Since there are limited ways of controlling the behavior of humans, e.g., by placing physical barriers, shaping the behavior of the robot is a feasible option. The chapter discusses current methods of placing barriers for human safety in an industrial setting and novel methods of placing virtual barriers by designing robot controllers using barrier transformation. The concepts of barrier functions (BFs), control barrier functions (CBFs), and barrier transformations are reviewed. The barrier transformation concept is used to design an adaptive trajectory tracking controller for the robot such that the robot does not cross the virtual barriers. The designed controller is tested in simulations. Future directions of safety technology in human-robot collaboration are presented.","PeriodicalId":426431,"journal":{"name":"Collaborative Robots [Working Title]","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121197884","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":"Self-Learning Low-Level Controllers","authors":"Dang Xuan Ba, J. Bae","doi":"10.5772/INTECHOPEN.96732","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.96732","url":null,"abstract":"Humanoid robots are complicated systems both in hardware and software designs. Furthermore, the robots normally work in unstructured environments at which unpredictable disturbances could degrade control performances of whole systems. As a result, simple yet effective controllers are favorite employed in low-level layers. Gain-learning algorithms applied to conventional control frameworks, such as Proportional-Integral-Derivative, Sliding-mode, and Backstepping controllers, could be reasonable solutions. The adaptation ability integrated is adopted to automatically tune proper control gains subject to the optimal control criterion both in transient and steady-state phases. The learning rules could be realized by using analytical nonlinear functions. Their effectiveness and feasibility are carefully discussed by theoretical proofs and experimental discussion.","PeriodicalId":426431,"journal":{"name":"Collaborative Robots [Working Title]","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121255605","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}