Visuo-haptic object perception for robots: an overview Article Swipe
Nicolás Navarro-Guerrero
,
Sibel Toprak
,
Josip Josifovski
,
Lorenzo Jamone
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s10514-023-10091-y
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s10514-023-10091-y
The object perception capabilities of humans are impressive, and this becomes even more evident when trying to develop solutions with a similar proficiency in autonomous robots. While there have been notable advancements in the technologies for artificial vision and touch, the effective integration of these two sensory modalities in robotic applications still needs to be improved, and several open challenges exist. Taking inspiration from how humans combine visual and haptic perception to perceive object properties and drive the execution of manual tasks, this article summarises the current state of the art of visuo-haptic object perception in robots. Firstly, the biological basis of human multimodal object perception is outlined. Then, the latest advances in sensing technologies and data collection strategies for robots are discussed. Next, an overview of the main computational techniques is presented, highlighting the main challenges of multimodal machine learning and presenting a few representative articles in the areas of robotic object recognition, peripersonal space representation and manipulation. Finally, informed by the latest advancements and open challenges, this article outlines promising new research directions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10514-023-10091-y
- https://link.springer.com/content/pdf/10.1007/s10514-023-10091-y.pdf
- OA Status
- hybrid
- Cited By
- 46
- References
- 172
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4327630646
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4327630646Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s10514-023-10091-yDigital Object Identifier
- Title
-
Visuo-haptic object perception for robots: an overviewWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-14Full publication date if available
- Authors
-
Nicolás Navarro-Guerrero, Sibel Toprak, Josip Josifovski, Lorenzo JamoneList of authors in order
- Landing page
-
https://doi.org/10.1007/s10514-023-10091-yPublisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s10514-023-10091-y.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s10514-023-10091-y.pdfDirect OA link when available
- Concepts
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Computer science, Human–computer interaction, Haptic technology, Perception, Robot, Modalities, Artificial intelligence, Object (grammar), Robotics, Representation (politics), Neuroscience, Social science, Biology, Politics, Political science, Law, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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46Total citation count in OpenAlex
- Citations by year (recent)
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2025: 20, 2024: 18, 2023: 8Per-year citation counts (last 5 years)
- References (count)
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172Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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