A Study on the Deployment of a Service Robot in an Elderly Care Center

Portugal, David; Alvito, Paulo; Christodoulou, Eleni; Samaras, George; Dias, Jorge

doi:10.1007/s12369-018-0492-5

Cited by 100 publications

(81 citation statements)

References 25 publications

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“…Apparently, it is not only the context per se which shapes the acceptance of robotic support but also the specific function for which the robotic care is applied for [12]. To realize personalized robotic care, Portugal et al [27] developed a mobile service robot with flexible function adaptive to (changing) user needs. The robot design considered size, shape, color, and acoustics to enable multimodal services for advanced HRI, including facial expressions for robotic emotional interaction [27].…”

Section: Introductionmentioning

confidence: 99%

“…To realize personalized robotic care, Portugal et al [27] developed a mobile service robot with flexible function adaptive to (changing) user needs. The robot design considered size, shape, color, and acoustics to enable multimodal services for advanced HRI, including facial expressions for robotic emotional interaction [27]. The robot was perceived more machine-like than humanlike, which did not limit its acceptance but was subject to the demand for additional design elements (e.g., arms) [27], which altogether emphasizes the relevance of the functional and at the same time visual robot design.…”

Section: Introductionmentioning

confidence: 99%

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How context and design shape human-robot trust and attributions

Biermann

Brauner

Ziefle

2020

Paladyn, Journal of Behavioral Robotics

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In increasingly digitized working and living environments, human-robot collaboration is growing fast with human trust toward robotic collaboration as a key factor for the innovative teamwork to succeed. This article explores the impact of design factors of the robotic interface (anthropomorphic vs functional) and usage context (production vs care) on human–robot trust and attributions. The results of a scenario-based survey with N=228 participants showed a higher willingness to collaborate with production robots compared to care. Context and design influenced the trust attributed to the robots: robots with a technical appearance in production were trusted more than anthropomorphic robots or robots in the care context. The evaluation of attributions by means of a semantic differential showed that differences in robot design were less pronounced for the production context in comparison to the care context. In the latter, anthropomorphic robots were associated with positive attributes. The results contribute to a better understanding of the complex nature of trust in automation and can be used to identify and shape use case-specific risk perceptions as well as perceived opportunities to interacting with collaborative robots. Findings of this study are pertinent to research (e.g., experts in human–robot interaction) and industry, with special regard given to the technical development and design.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How context and design shape human-robot trust and attributions

Biermann

Brauner

Ziefle

2020

Paladyn, Journal of Behavioral Robotics

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“…After the two month period, we run a questionnaire to assess how users perceived our robot in terms of usability, appearance and satisfaction. The questionnaire was extracted from the work of Portugal et al [35] and it is composed by 25 items (see Table 1) that participants had to rate from 1 (strongly disagree) to 10 (strongly agree). These questions are related to the easiness of use of the robot, the motivation it brings, the happiness when using it, the animacy of the robot, its safety, and its performance during demonstration, among others.…”

Section: Preliminary Resultsmentioning

confidence: 99%

Mini: A New Social Robot for the Elderly

Salichs

Castro‐González

Salichs

et al. 2020

Int J of Soc Robotics

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The unceasing aging of the population is leading to new problems in developed countries. Robots represent an opportunity to extend the period of independent living of the elderly as well as to ameliorate their economic burden and social problems. We present a new social robot, Mini, specifically designed to assist and accompany the elderly in their daily life either at home or in a nursing facility. Based on the results of several meetings with experts in this field, we have built a robot able to provide services in the areas of safety, entertainment, personal assistance and stimulation. Mini supports elders and caregivers in cognitive and mental tasks. We present the robot platform and describe the software architecture, particularly focussing on the human-robot interaction. We give in detail how the robot operates and the interrelation of the different modules of the robot in a real use case. In the last part of the paper, we evaluated how users perceive the robot. Participants reported interesting results in terms of usability, appearance, and satisfaction. This paper describes all aspects of the design and development of a new social robot that can be used by other researchers who face the multiple challenges of creating a new robotic platform for older people. Keywords Robots for elderly • Healthcare robotics • Human-robot interaction • HRI • Social robotics • Assistive robotics The research leading to these results has received funding from the projects: Development of social robots to help seniors with cognitive impairment (ROBSEN), funded by the Ministerio de Economia y Competitividad; and Robots Sociales para Estimulación Física, Cognitiva y Afectiva de Mayores (ROSES), funded by the Ministerio de Ciencia, Innovación y Universidades.

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“…where x i is the i th input node, and g(·) = max(0, ·) represents the ReLU activation function. The loss function is defined as the mean squared error between the predicted and measured force, where L2 regu- (1) h w (2) larization is used to prevent overfitting:…”

Section: Offline Neural Network Trainingmentioning

confidence: 99%

“…Given the global demographic skew towards an aging population, it is highly probable that there will be a requirement This work was supported by the National Natural Science Foundation of China under Grant 61876054, the China Scholarship Council, the EPSRC CDT in Robotics and Autonomous Systems (EP/L016834/1), and EPSRC Future AI and Robotics for Space (EP/R026092/1). 1 in the foreseeable future for service robots to assist in taking care of the elderly [1]. Among the emerging concerns, safety has the highest priority since robots will be involved in tasks such as handling delicate objects in proximity to humans and helping patients to move during rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

Force-Guided High-Precision Grasping Control of Fragile and Deformable Objects Using sEMG-Based Force Prediction

Wen

Yuan

Wang

et al. 2020

IEEE Robot. Autom. Lett.

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Regulating contact forces with high precision is crucial for grasping and manipulating fragile or deformable objects. We aim to utilize the dexterity of human hands to regulate the contact forces for robotic hands and exploit human sensory-motor synergies in a wearable and non-invasive way. We extracted force information from the electric activities of skeletal muscles during their voluntary contractions through surface electromyography (sEMG). We built a regression model based on a Neural Network to predict the gripping force from the preprocessed sEMG signals and achieved high accuracy (R 2 = 0.982). Based on the force command predicted from human muscles, we developed a force-guided control framework, where force control was realized via an admittance controller that tracked the predicted gripping force reference to grasp delicate and deformable objects. We demonstrated the effectiveness of the proposed method on a set of representative fragile and deformable objects from daily life, all of which were successfully grasped without any damage or deformation.

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A Study on the Deployment of a Service Robot in an Elderly Care Center

Cited by 100 publications

References 25 publications

How context and design shape human-robot trust and attributions

How context and design shape human-robot trust and attributions

Mini: A New Social Robot for the Elderly

Force-Guided High-Precision Grasping Control of Fragile and Deformable Objects Using sEMG-Based Force Prediction

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