Development of Human-Centered Social Robot with Embedded Personality for Elderly Care

Rodić, Aleksandar; Vujović, Milica; Stevanović, Ilija; Jovanović, Miloš

doi:10.1007/978-3-319-30674-2_18

Cited by 10 publications

(8 citation statements)

References 2 publications

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“…In addition, Waibel et al argued that cloud may also facilitate component reuse across different systems and developers, and the leveraging of expertise about the usage, robustness, and efficiency of components [16]. This approach has since been used to make standalone robots outperform their previous capabilities, for example by engaging better with children, or assisting the elderly in a much more natural way [17][18][19].…”

Section: Cloud Robotics In Healthcarementioning

confidence: 99%

“…The European Commission's Robotics for Healthcare Roadmap defines healthcare robotics as "the domain of systems able to perform coordinated mechatronic actions (force or movement exertions) on the basis of processing of information acquired through sensor technology, with the aim to support the functioning of impaired individuals, medical interventions, care and rehabilitation of patients and also to support individuals in prevention programs". A particularly prominent area of development are healthcare robots that interact cognitively and socially with humans in healthcare environments, including, for example, projects that aim to foster child well-being in medical facilities through engagement with pet robots [20], provide robots for assistance or companionship in elderly care [19] or employ robots for educational purposes [21].…”

Section: Cloud Robotics In Healthcarementioning

confidence: 99%

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Cloud services for robotic nurses? Assessing legal and ethical issues in the use of cloud services for healthcare robots

Fosch‐Villaronga

Felzmann

Ramos-Montero

et al. 2018

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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This paper explores ethical and legal implications arising from the intertwinement of cloud services, healthcare and robotics in recent developments towards increasing reliance on cloud-based services for healthcare robots. It closes an existing gap in the literature by highlighting the distinctive ethical and legal concerns associated with the interdependence of the cyber-and the physical aspects of healthcare cloud robotics. The identified core concerns include uncertainties with regard to data protection requirements; distributed responsibilities for robot behavior; the achievement of transparency and meaningful consent for cloud robot services especially for vulnerable robot users; secondary uses of cloud data derived from robot activities; data security; and wider social issues such as the digital divide and the assignment of responsibilities for social consequences to robot designers. The paper aims to raise awareness and stimulate reflection with regard to the legal and ethical impacts on different stakeholders arising from the use of cloud services in healthcare robotics. It shows that due to the complexity of these concerns the design and implementation of such robots in healthcare requires an interdisciplinary development and impact assessment process. In light of legal requirements and ethical responsibilities towards end-users and other stakeholders, we draw special attention to practical considerations that engineers should be cognizant of when developing cloud services for robots in the healthcare field.

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Section: Cloud Robotics In Healthcarementioning

confidence: 99%

Section: Cloud Robotics In Healthcarementioning

confidence: 99%

Cloud services for robotic nurses? Assessing legal and ethical issues in the use of cloud services for healthcare robots

Fosch‐Villaronga

Felzmann

Ramos-Montero

et al. 2018

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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“…Among the skills that social robots might require include: guiding people [5][6][7], following pedestrians [8,9], accompanying people [10][11][12], learning how to approach people and develop original ways of reaching them [13,14], or understanding human behaviour [15,16]. If robots are to be integrated into society in order to assist people in their daily tasks, they first must be able to accompany and approach us; accompaniment is essential for performing tasks jointly, if robots are to be accepted in society.…”

Section: Introductionmentioning

confidence: 99%

“…If robots are to be integrated into society in order to assist people in their daily tasks, they first must be able to accompany and approach us; accompaniment is essential for performing tasks jointly, if robots are to be accepted in society. These robot companion and approaching skills may be useful in tasks like: shopping assistants, [17], telepresence robots [18], social companions for the elderly or infirm, [19,11], or wheelchair au- tonomous systems that are able to walk side-by-side with their care givers [20][21][22], joining a static or dynamic group in conversation, [23], or simply requesting directions or other information [24].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Side-by-Side Social Robot Navigation to Approach and Interact with People

Repiso

Garrell

Sanfeliu

2019

Int J of Soc Robotics

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This paper presents a new framework for how autonomous social robots approach and accompany people in urban environments. The method discussed allows the robot to accompany a person and approach to other one, by adapting its own navigation in anticipation of future interactions with other people or contact with static obstacles. The contributions of the paper are manifold: firstly, we extended the Social Force model and the Anticipative Kinodynamic Planner [1] to the case of an adaptive side-by-side navigation; secondly, we enhance side-by-side navigation with an approaching task and a final positioning that allows the robot to interact with both people; and finally, we use findings from experiments of real-life observations of people walking in pairs to define the parameters of the human-robot interaction in our case of adaptive sideby-side. The method was validated by a large set of simulations; we also conducted real-life experiments with our robot, Tibi, to validate the framework described for the interaction process. In addition, we carried out various surveys and user studies to indicate the social acceptability of the robots performance of the accompanying, approaching and positioning tasks.

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“…In addition, they expounded that it may also offer other benefits by allowing component reuse across different systems and developers, human knowledge about the component usage, robustness and efficiency. In the following years, several researches have adopted this technology to foster individual child partnership in medical facilities, for robot companions for elderly care or for education purposes [17,27,28].…”

Section: Cloud Roboticsmentioning

confidence: 99%

Implications of the Google’s US 8,996,429 B1 Patent in Cloud Robotics-Based Therapeutic Researches

Fosch‐Villaronga¹,

Albó-Canals²

2018

Service Robots

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Intended for being informative to both legal and engineer communities, this chapter raises awareness on the implications of recent patents in the field of human-robot interaction (HRI) studies. Google patented the use of cloud robotics to create robot personality(-ies). The broad claims of the patent could hamper many HRI research projects in the field. One of the possible frustrated research lines is related to robotic therapies because the personalization of the robot accelerates the process of engagement, which is extremely beneficial for robotic cognitive therapies. This chapter presents, therefore, the scientific examination, description, and comparison of the Tufts University CEEO project "Data Analysis and Collection through Robotic Companions and LEGO ® Engineering with Children on the Autism Spectrum project" and the US 8,996,429 B1 Patent on the Methods and Systems for Robot Personality Development of Google. Some remarks on ethical implications of the patent will close the chapter and open the discussion to both communities.

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Development of Human-Centered Social Robot with Embedded Personality for Elderly Care

Cited by 10 publications

References 2 publications

Cloud services for robotic nurses? Assessing legal and ethical issues in the use of cloud services for healthcare robots

Cloud services for robotic nurses? Assessing legal and ethical issues in the use of cloud services for healthcare robots

Adaptive Side-by-Side Social Robot Navigation to Approach and Interact with People

Implications of the Google’s US 8,996,429 B1 Patent in Cloud Robotics-Based Therapeutic Researches

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