Teaching Robots by Example.

Saved in:
Bibliographic Details
Title: Teaching Robots by Example.
Authors: WONG, KENNETH
Source: Digital Engineering 247. Mar2026, Vol. 32 Issue 2, p16-19. 4p. 4 Color Photographs.
Subjects: Robotics, Artificial intelligence, Computer simulation, Digital twin, Manufacturing process automation, Detectors
Abstract: The article focuses on advances in training and deploying industrial and humanoid robots for real-world applications using Artificial Intelligence (AI) and sensor technologies. Topics include AI-driven robotic learning methods, sensor-based perception and reasoning, and the role of simulation and digital twins in manufacturing automation.
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 191964811
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Teaching Robots by Example.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22WONG%2C+KENNETH%22">WONG, KENNETH</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Digital+Engineering+247%22">Digital Engineering 247</searchLink>. Mar2026, Vol. 32 Issue 2, p16-19. 4p. 4 Color Photographs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Robotics%22">Robotics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+process+automation%22">Manufacturing process automation</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The article focuses on advances in training and deploying industrial and humanoid robots for real-world applications using Artificial Intelligence (AI) and sensor technologies. Topics include AI-driven robotic learning methods, sensor-based perception and reasoning, and the role of simulation and digital twins in manufacturing automation.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=191964811
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 16
    Subjects:
      – SubjectFull: Robotics
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Digital twin
        Type: general
      – SubjectFull: Manufacturing process automation
        Type: general
      – SubjectFull: Detectors
        Type: general
    Titles:
      – TitleFull: Teaching Robots by Example.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: WONG, KENNETH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 26381702
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Digital Engineering 247
              Type: main
ResultId 1