Navigation of multiple input constraint micro-robotic agents

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dc.contributor.author Loizou, SG en
dc.contributor.author Kyriakopoulos, KJ en
dc.date.accessioned 2014-03-01T02:43:26Z
dc.date.available 2014-03-01T02:43:26Z
dc.date.issued 2005 en
dc.identifier.uri http://hdl.handle.net/123456789/31406
dc.subject Input constraints en
dc.subject Micro-robots en
dc.subject Multi-agent navigation en
dc.subject Switching control en
dc.subject.other Global convergence en
dc.subject.other Input constraints en
dc.subject.other Input set en
dc.subject.other Micro robotics en
dc.subject.other Micro-robots en
dc.subject.other Multi-agent navigation en
dc.subject.other Multi-robot navigation en
dc.subject.other Multiple inputs en
dc.subject.other Non-trivial en
dc.subject.other Robotic agents en
dc.subject.other Switching control en
dc.subject.other Switching controllers en
dc.subject.other Computer simulation en
dc.subject.other Intelligent agents en
dc.subject.other Navigation en
dc.subject.other Robotics en
dc.subject.other Switching functions en
dc.subject.other Intelligent robots en
dc.title Navigation of multiple input constraint micro-robotic agents en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IROS.2005.1545218 en
heal.identifier.secondary http://dx.doi.org/10.1109/IROS.2005.1545218 en
heal.identifier.secondary 1545218 en
heal.publicationDate 2005 en
heal.abstract In this paper we consider the problem of navigating a team of input constraint robotic agents. The main motivation comes from the field of micro-robotics, where several input sets are more favorable than others, in the sense of incurring a lower relative actuation error. A switching controller that actuates the system in those favored input regions is derived based on Multirobot Navigation Functions. The system is shown to posses theoretically guaranteed global convergence and collision avoidance properties. Non-trivial computer simulations show the effectiveness of the methodology © 2005 IEEE. en
heal.journalName 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS en
dc.identifier.doi 10.1109/IROS.2005.1545218 en
dc.identifier.spage 1670 en
dc.identifier.epage 1675 en

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