A novel event-based incipient slip detection using Dynamic Active-Pixel Vision Sensor (DAVIS)
- Submitting institution
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Kingston University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-104-1656
- Type
- D - Journal article
- DOI
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10.3390/s18020333
- Title of journal
- Sensors
- Article number
- -
- First page
- 333
- Volume
- 18
- Issue
- -
- ISSN
- 1424-8220
- Open access status
- Compliant
- Month of publication
- -
- 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
- Yes
- Number of additional authors
-
-
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Vision based Approaches that detect the incipient slip between robotic hands and dynamic objects are important because such detection is useful for robotic grasping and manipulation applications, but have weaknesses, therefore this paper proposes a new method that addresses these weaknesses. This paper is significant in developing fast incipient slip detection approach for robotic hands grasping, showing for the first time how neuromorphic event-based vision sensor can be used to detect slip events in milliseconds time windows. In collaboration with Shadow robot company Ltd, the method has subsequently been evaluated for fund generation collaboration.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -