Bibliometric Analysis of Social Robotics Research: Identifying Research Trends and Knowledgebase

Mejía, Cristian; Kajikawa, Yuya

doi:10.3390/app7121316

Cited by 47 publications

(29 citation statements)

References 85 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The bibliometric analysis by Mejia and Kajikawa [19] referenced above also highlights that the social robotics literature comprises only a small portion (2.3%) of the larger robotics knowledgebase. When further investigating the extant social robotics literature, Mejia and Kajikawa [19] find that even though concepts of socialness play a central role, the social sciences are hardly represented. The authors write aptly: "Social robotics is social in its intention, but its knowledgebase is concentrated in the engineering and technology domains" (p.11).…”

Section: Interdisciplinary Tensionsmentioning

confidence: 99%

“…Within the field of HRI, social robots take on a special role, and fall under the category of 'proximate interaction', in which 'humans and robots interact as peers or companions' [18]. Based on reference information of articles they extracted, Mejia and Kajikawa [19] identified relevant clusters that represent the social robotics knowledgebase. The largest clusters in social robotics research can be summarized as 'robots as social partners' and 'human factors and ergonomics in human-robot interaction'.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

2021

View full text Add to dashboard Cite

Purpose of Review We provide an outlook on the definitions, laboratory research, and applications of social robots, with an aim to understand what makes a robot social—in the eyes of science and the general public. Recent Findings Social robots demonstrate their potential when deployed within contexts appropriate to their form and functions. Some examples include companions for the elderly and cognitively impaired individuals, robots within educational settings, and as tools to support cognitive and behavioural change interventions. Summary Science fiction has inspired us to conceive of a future with autonomous robots helping with every aspect of our daily lives, although the robots we are familiar with through film and literature remain a vision of the distant future. While there are still miles to go before robots become a regular feature within our social spaces, rapid progress in social robotics research, aided by the social sciences, is helping to move us closer to this reality.

show abstract

Section: Interdisciplinary Tensionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

2021

View full text Add to dashboard Cite

show abstract

“…Within the last decade, the developmental trends in robotics have included humanoid robots, natural interaction, therapy robots, and social robots (Goeldner, Herstatt, and Tietze 2015). In social robotics, the main publication trends have concerned robots as social partners as well as robots supporting children's development and assisting elderly people (Mejia and Kajikawa 2017). Maybe reflecting the trendy emphasis on social interaction, the image that tends to dominate public discussions of robotic care is that of naturally interacting humanoids.…”

Section: Demands Of Dignity In Robotic Carementioning

confidence: 99%

Demands of Dignity in Robotic Care

Laitinen

Niemelä

Pirhonen³

2019

Techné: Research in Philosophy and Technology

View full text Add to dashboard Cite

Having a sense of dignity is one of the core emotions in human life. Is our dignity, and accordingly also our sense of dignity under threat in elderly care, especially in robotic care? How can robotic care support or challenge human dignity in elderly care? The answer will depend on whether it is robot-based, robot-assisted, or teleoperated care that is at stake. Further, the demands and realizations of human dignity have to be distinguished. The demands to respect humans are based on human dignity and the inalienable high and equal moral standing that everyone has. For human moral agents, these demands take the form of negative and positive duties. For robots, they arguably take the form of corresponding ought-to-be norms. The realizations of dignity consist in variable responses to these demands, by oneself by others, and by society at large. This article examines how robot-based, robot-assisted, and teleoperated care can amount to realizations of dignity. The varieties of robotic care can, in different ways, be responsive to the demands of dignity and recognize humans as vulnerable beings with needs, as autonomous agents, and as rational subjects of experience, emotion, and thought.

show abstract

“…These robots are expected to be employed as companions to seniors and children, housekeeping, surveillance, etc. [1,2]. In order to accomplish such tasks, it is essential that the robot seamlessly recognizes its own location inside the home-similar to humans who are effortlessly aware of their whereabouts at any instant, e.g., kitchen or living room.…”

Section: Introductionmentioning

confidence: 99%

An Indoor Room Classification System for Social Robots via Integration of CNN and ECOC

Othman

Rad

2019

Applied Sciences

View full text Add to dashboard Cite

The ability to classify rooms in a home is one of many attributes that are desired for social robots. In this paper, we address the problem of indoor room classification via several convolutional neural network (CNN) architectures, i.e., VGG16, VGG19, & Inception V3. The main objective is to recognize five indoor classes (bathroom, bedroom, dining room, kitchen, and living room) from a Places dataset. We considered 11600 images per class and subsequently fine-tuned the networks. The simulation studies suggest that cleaning the disparate data produced much better results in all the examined CNN architectures. We report that VGG16 & VGG19 fine-tuned models with training on all layers produced the best validation accuracy, with 93.29% and 93.61% on clean data, respectively. We also propose and examine a combination model of CNN and a multi-binary classifier referred to as error correcting output code (ECOC) with the clean data. The highest validation accuracy of 15 binary classifiers reached up to 98.5%, where the average of all classifiers was 95.37%. CNN and CNN-ECOC, and an alternative form called CNN-ECOC Regression, were evaluated in real-time implementation on a NAO humanoid robot. The results show the superiority of the combination model of CNN and ECOC over the conventional CNN. The implications and the challenges of real-time experiments are also discussed in the paper.

show abstract

Bibliometric Analysis of Social Robotics Research: Identifying Research Trends and Knowledgebase

Cited by 47 publications

References 85 publications

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

Demands of Dignity in Robotic Care

An Indoor Room Classification System for Social Robots via Integration of CNN and ECOC

Contact Info

Product

Resources

About