Title:
Robust Multi-Robot Coordination in Noisy and Dangerous Environments

dc.contributor.author Balch, Tucker
dc.contributor.author Sariel, Sanem
dc.date.accessioned 2006-03-14T19:26:26Z
dc.date.available 2006-03-14T19:26:26Z
dc.date.issued 2005
dc.description.abstract In this paper we present the design and implementation of a complete framework for multi-robot coordination in which robots collectively execute inter-dependent tasks of an overall complex mission requiring diverse capabilities. Given a heterogeneous team of robots and task dependencies, proposed framework provides a distributed, robust mechanism for assigning robots to tasks in an order that efficiently completes the mission. The approach is robust to unreliable communication and robot failures. It is a market-based approach, and therefore scalable, but it does not provide guarantees of optimality. In order to obtain optimum allocations in noisy environments we introduce a coalition maintenance scheme for dynamic reconfiguration of the assigned tasks at run time. Additional routines, called precautions are added in the framework for addressing different types of failures common in robot systems and solving conflicts in cases of these failures. Framework has been tested in simulations that include variable message loss rates and robot failures. We expect to port the system to mobile robots in the future. Our experiments illustrate effectiveness of the proposed approach in realistic scenarios. en
dc.format.extent 260168 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/8354
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-05-17 en
dc.subject Multi-robot coordination en
dc.subject Auctions en
dc.subject Coalitions en
dc.subject Robustness en
dc.title Robust Multi-Robot Coordination in Noisy and Dangerous Environments en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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