A real-time obstacle avoidance strategy for safe autonomous navigation of intelligent hospital beds in dynamic uncertain environments

Wang, C; Matveev, AS; Savkin, AV; Clout, R; Nguyen, HT

A real-time obstacle avoidance strategy for safe autonomous navigation of intelligent hospital beds in dynamic uncertain environments

Wang, C Matveev, AS Savkin, AV Clout, R Nguyen, HT

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Publication Type:: Conference Proceeding
Citation:: Australasian Conference on Robotics and Automation, ACRA, 2013
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Wang, C	en_US
dc.contributor.author	Matveev, AS	en_US
dc.contributor.author	Savkin, AV	en_US
dc.contributor.author	Clout, R	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	Australasian Conference on Robotics and Automation, ACRA, 2013	en_US
dc.identifier.isbn	9780980740448	en_US
dc.identifier.issn	1448-2053	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120990
dc.description.abstract	We present a reactive navigation algorithm for safe operation of hospital beds in dynamic environments. The proposed navigation is implementation efficient in the sense that it does not require any measurements from the velocities, shapes, dimensions or orientations of the obstacles. Furthermore, it is applicable for a variety of real world scenario where the natures and the motions of the obstacles are not known, and the shapes of the obstacles may be time-varying and deforming. The only information available for computation of control signals is the minimum distance from the hospital bed to the closest obstacle. The mathematically rigorous analysis of the proposed navigation algorithm is presented and its performance is demonstrated by the computer simulations and real world experiments with a hospital bed control system (Flexbed).	en_US
dc.relation.ispartof	Australasian Conference on Robotics and Automation, ACRA	en_US
dc.title	A real-time obstacle avoidance strategy for safe autonomous navigation of intelligent hospital beds in dynamic uncertain environments	en_US
dc.type	Conference Proceeding
utslib.for	090303 Biomedical Instrumentation	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

We present a reactive navigation algorithm for safe operation of hospital beds in dynamic environments. The proposed navigation is implementation efficient in the sense that it does not require any measurements from the velocities, shapes, dimensions or orientations of the obstacles. Furthermore, it is applicable for a variety of real world scenario where the natures and the motions of the obstacles are not known, and the shapes of the obstacles may be time-varying and deforming. The only information available for computation of control signals is the minimum distance from the hospital bed to the closest obstacle. The mathematically rigorous analysis of the proposed navigation algorithm is presented and its performance is demonstrated by the computer simulations and real world experiments with a hospital bed control system (Flexbed).

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http://hdl.handle.net/10453/120990