Autonomous learning of object models on a mobile robot
- Submitting institution
-
University of Oxford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9501
- Type
- D - Journal article
- DOI
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10.1109/LRA.2016.2522086
- Title of journal
- IEEE Robotics and Automation Letters
- Article number
- -
- First page
- 26
- Volume
- 2
- Issue
- 1
- ISSN
- 2377-3774
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- 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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7
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first mobile robot system capable of autonomously creating 3D visual object models for instance recognition without any human intervention. The system exploits novel long-term observations of its environment to detect previously unseen objects, then automatically gathers observations for model building. The approach provided the underpinning mechanism for many capabilities of the mobile robots in the EU STRANDS project, and for subsequent papers on object recognition and learning performed on mobile robots published in venues including ECAI, ICRA, and IROS.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -