Real-Time Learning and Recognition of Assembly Activities Based on Virtual Reality Demonstration Article Swipe
Ning Zhang
,
Tao Qi
,
Yongjia Zhao
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/s21186201
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/s21186201
Teaching robots to learn through human demonstrations is a natural and direct method, and virtual reality technology is an effective way to achieve fast and realistic demonstrations. In this paper, we construct a virtual reality demonstration system that uses virtual reality equipment for assembly activities demonstration, and using the motion data of the virtual demonstration system, the human demonstration is deduced into an activity sequence that can be performed by the robot. Through experimentation, the virtual reality demonstration system in this paper can achieve a 95% correct rate of activity recognition. We also created a simulated ur5 robotic arm grasping system to reproduce the inferred activity sequence.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s21186201
- https://www.mdpi.com/1424-8220/21/18/6201/pdf?version=1631785189
- OA Status
- gold
- Cited By
- 9
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3199965632
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3199965632Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s21186201Digital Object Identifier
- Title
-
Real-Time Learning and Recognition of Assembly Activities Based on Virtual Reality DemonstrationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-16Full publication date if available
- Authors
-
Ning Zhang, Tao Qi, Yongjia ZhaoList of authors in order
- Landing page
-
https://doi.org/10.3390/s21186201Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/21/18/6201/pdf?version=1631785189Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/21/18/6201/pdf?version=1631785189Direct OA link when available
- Concepts
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Virtual reality, Computer science, Construct (python library), Sequence (biology), Human–computer interaction, Robot, Artificial intelligence, Simulation, Biology, Genetics, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1, 2023: 2, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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