A multi-level control architecture for the bionic handling assistant
- Submitting institution
-
Oxford Brookes University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 185745757
- Type
- D - Journal article
- DOI
-
10.1080/01691864.2015.1037793
- Title of journal
- Advanced Robotics
- Article number
- -
- First page
- 847
- Volume
- 29
- Issue
- 13
- ISSN
- 0169-1864
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- 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
-
5
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article describes an original way to organize heterogeneous control
skills on a robot within a collaborative research project. The work
described in it has been the direct technological foundation of at least
eight research papers and two PhD dissertations. The architecture set an
early example for a complete robot control architecture that can be
continually shaped by data and machine learning. Through its
collaborative use it has directly facilitated the development of novel
machine learning approaches such as Constrained-ELM’s as well as novel
approaches in robotic software engineering such as RSB and CCA.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -