Title:
Blended Shared Control of Zermelo's Navigation Problem

dc.contributor.author Enes, Aaron R. en_US
dc.contributor.author Book, Wayne J. en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Mechanical Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.date.accessioned 2011-05-20T20:20:43Z
dc.date.available 2011-05-20T20:20:43Z
dc.date.issued 2010
dc.description ©2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description Presented at the 2010 American Control Conference Marriott Waterfront, Baltimore, MD, USA June 30-July 02, 2010. en_US
dc.description.abstract Many machines–from hydraulic excavators to mobile wheelchairs–are manually controlled by a human operator. In practice, the operator assumes responsibility for completing a given task at maximum utility, even though the optimal inputs may be unknown to the operator. Here we introduce a simple technique termed Blended Shared Control, whereby the human operator commands are continually merged with the commands of a robotic agent. This approach is shown to result in a lower task completion time than manual control alone when applied to a problem motivated by Zermelo’s navigation problem. Experimental results are presented to compare blended shared control to other types of controllers including manual control, heads up display, and haptic feedback. Trials indicate that the shared control does in fact decrease task completion time when compared to fully manual operation. en_US
dc.identifier.citation Aaron Enes , and Wayne Book, "Blended Shared Control of Zermelo's Navigation Problem ," Proceedings of the American Control Conference (ACC), June 30 2010-July 2 2010, 4304-4312. en_US
dc.identifier.isbn 978-1-4244-7426-4
dc.identifier.issn 0743-1619
dc.identifier.uri http://hdl.handle.net/1853/38937
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Shared control en_US
dc.subject Haptics en_US
dc.subject Minimum time control en_US
dc.title Blended Shared Control of Zermelo's Navigation Problem en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Book, Wayne J.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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