Experience from the operation of the Pepper humanoid robots

Gardecki, Arkadiusz; Podpora, Michał

doi:10.1109/paee.2017.8008994

Cited by 30 publications

(19 citation statements)

References 3 publications

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“…Nao (see Figure 1), developed by SoftBank Robotics with a height of 54 cm, may be a quasi‐standard form in education (Belpaeme et al ., 2018). In commercial settings, Pepper (see Figure 1), also a humanoid robot from SoftBank Robotics, is more widely used (Gardecki & Podpora, 2017). Examples of places where Pepper provides information to visitors are banks and shopping malls.…”

Section: Introductionmentioning

confidence: 99%

Humanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT

Guggemos¹,

Seufert²,

Sonderegger³

2020

Brit J Educational Tech

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This study investigates the acceptance of social robots by higher education students in the social sciences. Pepper, a humanoid social robot from SoftBank Robotics, provided a sample of its capabilities during a first semester, large‐scale, university course, “Introduction to academic writing.”From this course, 462 freshmen participated in our survey. The unified theory of acceptance and use of technology (UTAUT) acts as the conceptual framework, and partial least squares structural equation modelling (PLS‐SEM) as the method for data analysis. The four perceived characteristics—trustworthiness, adaptiveness, social presence and appearance—all predict the intention to use the robot for learning purposes; anxiety regarding making mistakes in handling the robot and about privacy issues are not significant predictors. An importance‐performance map analysis indicated adaptiveness as the robot’s most important characteristic for predicting student behavioural intention. Overall, however, the study shows that students do not have the intention to rely on social robots for learning purposes at the current level of state‐of‐the‐art technology: behavioural intention reaches only 36.6% of the theoretical maximum.

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Section: Introductionmentioning

confidence: 99%

Humanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT

Guggemos¹,

Seufert²,

Sonderegger³

2020

Brit J Educational Tech

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“…There has been research using Pepper to investigate touch within HRI, with finding suggesting that human subjects prefer to initiate touch with the robot [67][68][69]. They also found that they prefer the robot to look at their face during touch interactions, rather than looking at the human face, then down at their hands, then back up at their face.…”

Section: Pepper Humanoid Robotmentioning

confidence: 99%

What Makes a Social Robot Good at Interacting with Humans?

Onyeulo

Gandhi

2020

Information

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This paper discusses the nuances of a social robot, how and why social robots are becoming increasingly significant, and what they are currently being used for. This paper also reflects on the current design of social robots as a means of interaction with humans and also reports potential solutions about several important questions around the futuristic design of these robots. The specific questions explored in this paper are: “Do social robots need to look like living creatures that already exist in the world for humans to interact well with them?”; “Do social robots need to have animated faces for humans to interact well with them?”; “Do social robots need to have the ability to speak a coherent human language for humans to interact well with them?” and “Do social robots need to have the capability to make physical gestures for humans to interact well with them?”. This paper reviews both verbal as well as nonverbal social and conversational cues that could be incorporated into the design of social robots, and also briefly discusses the emotional bonds that may be built between humans and robots. Facets surrounding acceptance of social robots by humans and also ethical/moral concerns have also been discussed.

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“…Various efforts have sought to develop adaptive and reconfigurable hands for these environments, such as in works by Lovchik and Diftler (1999), Laliberté and Gosselin (2001), and FIGURE 1 | Examples of real world applied hands (Lovchik and Diftler, 1999;Hemming et al, 2014;Controzzi et al, 2016;Galloway et al, 2016;Gardecki and Podpora, 2017;Stuart et al, 2017;Friedl et al, 2018;Negrello et al, 2018). This paper focuses on field exploration, industrial applications, service robots, search and rescue and prosthetics.…”

Section: Spacementioning

confidence: 99%

“… Examples of real world applied hands (Lovchik and Diftler, 1999 ; Hemming et al, 2014 ; Controzzi et al, 2016 ; Galloway et al, 2016 ; Gardecki and Podpora, 2017 ; Stuart et al, 2017 ; Friedl et al, 2018 ; Negrello et al, 2018 ). This paper focuses on field exploration, industrial applications, service robots, search and rescue and prosthetics.…”

Section: Introductionmentioning

confidence: 99%

Hands in the Real World

2020

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Robots face a rapidly expanding range of potential applications beyond controlled environments, from remote exploration and search-and-rescue to household assistance and agriculture. The focus of physical interaction is typically delegated to end-effectors-fixtures, grippers or hands-as these machines perform manual tasks. Yet, effective deployment of versatile robot hands in the real world is still limited to few examples, despite decades of dedicated research. In this paper we review hands that found application in the field, aiming to discuss open challenges with more articulated designs, discussing novel trends and perspectives. We hope to encourage swift development of capable robotic hands for long-term use in varied real world settings. The first part of the paper centers around progress in artificial hand design, identifying key functions for a variety of environments. The final part focuses on the overall trends in hand mechanics, sensors and control, and how performance and resiliency are qualified for real world deployment.

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Experience from the operation of the Pepper humanoid robots

Cited by 30 publications

References 3 publications

Humanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT

Humanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT

What Makes a Social Robot Good at Interacting with Humans?

Hands in the Real World

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