A Topology of Shared Control Systems—Finding Common Ground in Diversity
- Submitting institution
-
University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10256
- Type
- D - Journal article
- DOI
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10.1109/THMS.2018.2791570
- Title of journal
- IEEE Transactions on Human-Machine Systems
- Article number
- -
- First page
- 509
- Volume
- 48
- Issue
- 5
- ISSN
- 2168-2291
- Open access status
- Technical exception
- Month of publication
- May
- 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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6
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the culmination of a series of workshops within the IEEE Systems, Man and Cybernetics Society technical committee on Shared Control, which we co-founded with our International co-authors (TU Delft, Netherlands; UBC, Canada). Shared control means to optimally combine the strengths of both humans and automation to ensure an intuitive, safe and efficient human-machine interaction. We developed a hierarchical framework to enable application-independent shared-control systems, which now features in several Special Sessions (SMC2018-20) attended by researchers from many domains. The framework has already been adopted by the £8.7M EC Interreg project (ADAPT) and £800K VIDI project (Symbiotic Driving).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -