ROS-based Autonomous Navigation Wheelchair using Omnidirectional Sensor
- Submitting institution
-
The University of Kent
- Unit of assessment
- 12 - Engineering
- Output identifier
- 6439
- Type
- D - Journal article
- DOI
-
10.5120/ijca2016907533
- Title of journal
- International Journal of Computer Applications
- Article number
- -
- First page
- 12
- Volume
- 133
- Issue
- 6
- ISSN
- 0975-8887
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
https://kar.kent.ac.uk/53272/
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a new fully operational autonomous navigation system for electrically powered wheelchairs which was designed, implemented and tested in realistic scenarios using NHS prescription grade wheelchairs. This is one of the outputs of the COALAS EU project including 4 UK and French partners. The research has continued under another EU funded project, ADAPT, including 14 UK and French partners ranging from NHS trusts, private health services providers to wheelchair companies, user forums, and academia.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -