iCLAP: Shape Recognition by Combining Proprioception and Touch Sensing
- Submitting institution
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The University of Liverpool
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 12125
- Type
- D - Journal article
- DOI
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10.1007/s10514-018-9777-7
- Title of journal
- Autonomous Robots
- Article number
- -
- First page
- 993
- Volume
- 43
- Issue
- 4
- ISSN
- 0929-5593
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A preliminary version of this work with the title "Iterative Closest Labeled Point for Tactile Object Shape Recognition" appeared at IROS'16. The new algorithm presented in this paper will play a central role in Luo's recently-funded EPSRC New Investigator Award "ViTac: Visual-Tactile Synergy for Handling Flexible Materials" to estimate the dynamic states and properties of flexible materials while they are being manipulated by robot hands.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -