Repository logo
 

Redundant Robot Assignment on Graphs with Uncertain Edge Costs

dc.contributor.authorProrok, Amanda
dc.contributor.editorCorrell, N
dc.contributor.editorSchwager, M
dc.contributor.editorOtte, M
dc.contributor.orcidProrok, Amanda [0000-0001-7313-5983]
dc.date.accessioned2018-09-08T06:35:21Z
dc.date.available2018-09-08T06:35:21Z
dc.date.issued2019-02-21
dc.description.abstractWe provide a framework for the assignment of multiple robots to goal locations, when robot travel times are uncertain. Our premise is that time is the most valuable asset in the system. Hence, we make use of redundant robots to counter the effect of uncertainty and minimize the average waiting time at destinations. We apply our framework to transport networks represented as graphs, and consider uncertainty in the edge costs (i.e., travel time). Since solving the redundant assignment problem is strongly NP-hard, we exploit structural properties of our problem to propose a polynomial-time solution with provable sub-optimality bounds. Our method uses distributive aggregate functions, which allow us to efficiently (i.e., incrementally) compute the effective cost of assigning redundant robots. Experimental results on random graphs show that the deployment of redundant robots through our method reduces waiting times at goal locations, when edge traversals are uncertain.
dc.identifier.doi10.17863/CAM.27308
dc.identifier.isbn3030058158
dc.identifier.isbn978-3-030-05815-9
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/279940
dc.languageEnglish
dc.language.isoen
dc.publisherSpringer International Publishing
dc.subjectcs.RO
dc.subjectcs.RO
dc.subjectcs.MA
dc.titleRedundant Robot Assignment on Graphs with Uncertain Edge Costs
dc.typeBook chapter
dcterms.dateAccepted2018-08-07
dcterms.isPartOfDistributed Autonomous Robotic Systems
prism.edition1st
prism.endingPage327
prism.number22
prism.publicationDate2019
prism.publicationNameDistributed Autonomous Robotic Systems
prism.startingPage313
prism.volume9
rioxxterms.licenseref.startdate2019-02-21
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeBook chapter
rioxxterms.versionAM
rioxxterms.versionofrecord10.1007/978-3-030-05816-6

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
redundant_assignment.pdf
Size:
722.76 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
Licence
http://www.rioxx.net/licenses/all-rights-reserved
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
DepositLicenceAgreementv2.1.pdf
Size:
150.9 KB
Format:
Adobe Portable Document Format