Gillham, Michael, Howells, Gareth (2015) A Dynamic Localized Adjustable Force Field Method for Real-time Assistive Non-holonomic Mobile Robotics. International Journal of Advanced Robotic Systems, . p. 1. ISSN 1729-8806. (doi:10.5772/61190) (KAR id:51521)
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Official URL: http://doi.org/10.5772/61190 |
Abstract
Providing an assistive navigation system that augments
rather than usurps user control of a powered wheelchair
represents a significant technical challenge. This paper
evaluates an assistive collision avoidance method for a
powered wheelchair that allows the user to navigate safely
whilst maintaining their overall governance of the platform
motion. The paper shows that by shaping, switching and
adjusting localized potential fields we are able to negotiate
different obstacles by generating a more intuitively natural
trajectory, one that does not deviate significantly from the
operator in the loop desired-trajectory. It can also be seen
that this method does not suffer from the local minima
problem, or narrow corridor and proximity oscillation,
which are common problems that occur when using
potential fields. Furthermore this localized method enables
the robotic platform to pass very close to obstacles, such as
when negotiating a narrow passage or doorway.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.5772/61190 |
Uncontrolled keywords: | Smart Assistive Powered Wheelchair, Mobile Robotics, Real-time Navigation, Dynamic, Localized Adjustable Potential Force Fields |
Subjects: |
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7885 Computer engineering. Computer hardware T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7895.E42 Embedded computer systems |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Michael Gillham |
Date Deposited: | 06 Nov 2015 13:36 UTC |
Last Modified: | 05 Nov 2024 10:37 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/51521 (The current URI for this page, for reference purposes) |
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