Wheelchair NavigationAutomatically Adapting to Evolving Environments
Authors
Organisations
Type | Conference Proceeding (Non-Journal item) |
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Original language | English |
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Title of host publication | 20th Towards Autonomous Robotic Systems Conference |
Subtitle of host publication | TAROS 2019 |
Editors | Kaspar Althoefer, Jelizaveta Konstantinova, Ketao Zhang |
Publisher | Springer Nature |
Number of pages | 4 |
Volume | 2 |
Edition | 1 |
ISBN (Electronic) | 978-3-030-25332-5 |
ISBN (Print) | 978-3030253318, 3030253317 |
Publication status | Published - 05 Jul 2019 |
Event | 20th Towards Autonomous Robotic Systems Conference: TAROS 2019 - Queen Mary University of London, London, United Kingdom of Great Britain and Northern Ireland Duration: 03 Jul 2019 → 05 Jul 2019 |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | 20th Towards Autonomous Robotic Systems Conference |
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Country/Territory | United Kingdom of Great Britain and Northern Ireland |
City | London |
Period | 03 Jul 2019 → 05 Jul 2019 |
Permanent link | Permanent link |
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Abstract
Power wheelchairs can increase independence by supporting the mobility of their users. However, severe disabilities of users can render controlling the wheelchair difficult, if not impossible, especially over longer periods of time. This paper describes a proposal for research into techniques that would improve the experience and quality of life of wheelchair users by reducing the cognitive burden introduced by repetitive and complicated navigation tasks and manoeuvres. This will be achieved by sharing the control between the user and an autonomous controller. A number of techniques will be used to achieve this aim. Simultaneous Localisation and Mapping (SLAM) and topological mapping will be used for navigation between rooms while Computer Vision techniques will allow the (semi) automatic recognition of places in the user's home, based on the detection and categorisation of objects. Finally, medium to high level automation will be provided. This includes automatic and transparent assistance with tasks such as navigating through doorways but also autonomous navigation to specific locations using high level constructs ("take me to the kitchen table").
Keywords
- Wheelchair, Shared Control, Computer Vision, SLAM, Middleware
Documents
- autonomous-wheelchair-taros-2019
Accepted author manuscript, 325 KB, PDF