How to improve robotic touch.
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| Title: | How to improve robotic touch. |
|---|---|
| Authors: | Sundaram, Subramanian |
| Source: | Science (pre-March 2025). 11/13/2020, Vol. 370 Issue 6518, p768-769. 2p. 1 Diagram. |
| Subjects: | Robotics, Machine learning, Artificial intelligence, Touch, Robotics engineers, Robot control systems |
| Abstract: | The article focuses on robotic touch and explores the advances in machine learning (ML) and primate tactile system. It is noted that roboticists have explored all aspects of human tactile physiology for inspiration on designing robotic touch systems. The author mentions that although robotic manipulation of objects with similar sensorimotor control is limited by tactile hardware in robot hands, there has been much progress in using visual data. |
| Database: | Psychology and Behavioral Sciences Collection |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 147034670 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: How to improve robotic touch. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sundaram%2C+Subramanian%22">Sundaram, Subramanian</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 11/13/2020, Vol. 370 Issue 6518, p768-769. 2p. 1 Diagram. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Robotics%22">Robotics</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Touch%22">Touch</searchLink><br /><searchLink fieldCode="DE" term="%22Robotics+engineers%22">Robotics engineers</searchLink><br /><searchLink fieldCode="DE" term="%22Robot+control+systems%22">Robot control systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on robotic touch and explores the advances in machine learning (ML) and primate tactile system. It is noted that roboticists have explored all aspects of human tactile physiology for inspiration on designing robotic touch systems. The author mentions that although robotic manipulation of objects with similar sensorimotor control is limited by tactile hardware in robot hands, there has been much progress in using visual data. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=147034670 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1126/science.abd3643 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 2 StartPage: 768 Subjects: – SubjectFull: Robotics Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Touch Type: general – SubjectFull: Robotics engineers Type: general – SubjectFull: Robot control systems Type: general Titles: – TitleFull: How to improve robotic touch. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sundaram, Subramanian IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 11 Text: 11/13/2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 00368075 Numbering: – Type: volume Value: 370 – Type: issue Value: 6518 Titles: – TitleFull: Science (pre-March 2025) Type: main |
| ResultId | 1 |