Academic Journal

An Exploration of the Pepper Robot's Capabilities: Unveiling Its Potential.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: An Exploration of the Pepper Robot's Capabilities: Unveiling Its Potential.
Συγγραφείς: Mishra, Deepti, Romero, Guillermo Arroyo, Pande, Akshara, Nachenahalli Bhuthegowda, Bhavana, Chaskopoulos, Dimitrios, Shrestha, Bhanu
Πηγή: Applied Sciences (2076-3417); Jan2024, Vol. 14 Issue 1, p110, 17p
Θεματικοί όροι: Object recognition (Computer vision), Social robots, Peppers, Speech perception, Humanoid robots, Nautical charts, Automatic speech recognition
Περίληψη: Featured Application: Pepper, the social robot, includes various capabilities, and exploration of its features and functionalities can provide valuable insights into its strengths and limitations where it may require improvement. In this paper, five capabilities—mapping and navigation, speech, hearing, object detection, and face detection, are considered for investigation. All of them can be employed in various settings, such as schools, hospitals, and the service industry, to enhance the user experience. The application of social robots is increasing daily due to their various capabilities. In real settings, social robots have been successfully deployed in multiple domains, such as health, education, and the service industry. However, it is crucial to identify the strengths and limitations of a social robot before it can be employed in a real-life scenario. In this study, we explore and examine the capabilities of a humanoid robot, 'Pepper', which can be programmed to interact with humans. The present paper investigates five capabilities of Pepper: mapping and navigation, speech, hearing, object detection, and face detection. We attempt to study each of these capabilities in-depth with the help of experiments conducted in the laboratory. It has been identified that Pepper's sound and speech recognition capabilities yielded satisfactory results, even with various accents. On the other hand, Pepper's built-in SLAM navigation is unreliable, making it difficult to reach destinations accurately due to generated maps. Moreover, its object and face detection capabilities delivered inconsistent outcomes. This shows that Pepper has potential for improvement in its current capabilities. However, previous studies showed that with the integration of artificial intelligence techniques, a social robot's capabilities can be enhanced significantly. In the future, we will focus on such integration in the Pepper robot, and the present study's exploration will help to establish a baseline comprehension of the in-built artificial intelligence of Pepper. The findings of the present paper provide insights to researchers and practitioners planning to use the Pepper robot in their future work. [ABSTRACT FROM AUTHOR]
Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=20763417&ISBN=&volume=14&issue=1&date=20240101&spage=110&pages=110-126&title=Applied Sciences (2076-3417)&atitle=An%20Exploration%20of%20the%20Pepper%20Robot%27s%20Capabilities%3A%20Unveiling%20Its%20Potential.&aulast=Mishra%2C%20Deepti&id=DOI:10.3390/app14010110
    Name: Full Text Finder (for New FTF UI) (ns324271)
    Category: fullText
    Text: Full Text Finder
    MouseOverText: Full Text Finder
Header DbId: edb
DbLabel: Complementary Index
An: 174715243
RelevancyScore: 950
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 949.9453125
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An Exploration of the Pepper Robot's Capabilities: Unveiling Its Potential.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mishra%2C+Deepti%22">Mishra, Deepti</searchLink><br /><searchLink fieldCode="AR" term="%22Romero%2C+Guillermo+Arroyo%22">Romero, Guillermo Arroyo</searchLink><br /><searchLink fieldCode="AR" term="%22Pande%2C+Akshara%22">Pande, Akshara</searchLink><br /><searchLink fieldCode="AR" term="%22Nachenahalli+Bhuthegowda%2C+Bhavana%22">Nachenahalli Bhuthegowda, Bhavana</searchLink><br /><searchLink fieldCode="AR" term="%22Chaskopoulos%2C+Dimitrios%22">Chaskopoulos, Dimitrios</searchLink><br /><searchLink fieldCode="AR" term="%22Shrestha%2C+Bhanu%22">Shrestha, Bhanu</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Applied Sciences (2076-3417); Jan2024, Vol. 14 Issue 1, p110, 17p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Object+recognition+%28Computer+vision%29%22">Object recognition (Computer vision)</searchLink><br /><searchLink fieldCode="DE" term="%22Social+robots%22">Social robots</searchLink><br /><searchLink fieldCode="DE" term="%22Peppers%22">Peppers</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+perception%22">Speech perception</searchLink><br /><searchLink fieldCode="DE" term="%22Humanoid+robots%22">Humanoid robots</searchLink><br /><searchLink fieldCode="DE" term="%22Nautical+charts%22">Nautical charts</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+speech+recognition%22">Automatic speech recognition</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Featured Application: Pepper, the social robot, includes various capabilities, and exploration of its features and functionalities can provide valuable insights into its strengths and limitations where it may require improvement. In this paper, five capabilities—mapping and navigation, speech, hearing, object detection, and face detection, are considered for investigation. All of them can be employed in various settings, such as schools, hospitals, and the service industry, to enhance the user experience. The application of social robots is increasing daily due to their various capabilities. In real settings, social robots have been successfully deployed in multiple domains, such as health, education, and the service industry. However, it is crucial to identify the strengths and limitations of a social robot before it can be employed in a real-life scenario. In this study, we explore and examine the capabilities of a humanoid robot, 'Pepper', which can be programmed to interact with humans. The present paper investigates five capabilities of Pepper: mapping and navigation, speech, hearing, object detection, and face detection. We attempt to study each of these capabilities in-depth with the help of experiments conducted in the laboratory. It has been identified that Pepper's sound and speech recognition capabilities yielded satisfactory results, even with various accents. On the other hand, Pepper's built-in SLAM navigation is unreliable, making it difficult to reach destinations accurately due to generated maps. Moreover, its object and face detection capabilities delivered inconsistent outcomes. This shows that Pepper has potential for improvement in its current capabilities. However, previous studies showed that with the integration of artificial intelligence techniques, a social robot's capabilities can be enhanced significantly. In the future, we will focus on such integration in the Pepper robot, and the present study's exploration will help to establish a baseline comprehension of the in-built artificial intelligence of Pepper. The findings of the present paper provide insights to researchers and practitioners planning to use the Pepper robot in their future work. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=174715243
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app14010110
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 110
    Subjects:
      – SubjectFull: Object recognition (Computer vision)
        Type: general
      – SubjectFull: Social robots
        Type: general
      – SubjectFull: Peppers
        Type: general
      – SubjectFull: Speech perception
        Type: general
      – SubjectFull: Humanoid robots
        Type: general
      – SubjectFull: Nautical charts
        Type: general
      – SubjectFull: Automatic speech recognition
        Type: general
    Titles:
      – TitleFull: An Exploration of the Pepper Robot's Capabilities: Unveiling Its Potential.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mishra, Deepti
      – PersonEntity:
          Name:
            NameFull: Romero, Guillermo Arroyo
      – PersonEntity:
          Name:
            NameFull: Pande, Akshara
      – PersonEntity:
          Name:
            NameFull: Nachenahalli Bhuthegowda, Bhavana
      – PersonEntity:
          Name:
            NameFull: Chaskopoulos, Dimitrios
      – PersonEntity:
          Name:
            NameFull: Shrestha, Bhanu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
ResultId 1