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 |
https://dspace.lib.ntua.gr/xmlui/handle/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 |