liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Complex Task Allocation in Mixed-Initiative Delegation : A UAV Case Study
2012 (English)In: Principles and Practice of Multi-Agent Systems 13th International Conference, PRIMA 2010, Kolkata, India, November 12-15, 2010, Revised Selected Papers / [ed] Nirmit Desai, Alan Liu, Michael Winikoff, Springer Berlin/Heidelberg, 2012, Vol. 7057, 288-303Chapter in book (Refereed)
Abstract [en]

Unmanned aircraft systems (UASs) are now becoming technologically mature enough to be integrated into civil society. An essential issue is principled mixed-initiative interaction between UASs and human operators. Two central problems are to specify the structure and requirements of complex tasks and to assign platforms to these tasks. We have previously proposed Task Specification Trees (TSTs) as a highly expressive specification language for complex multi-agent tasks that supports mixed-initiative delegation and adjustable autonomy. The main contribution of this paper is a sound and complete distributed heuristic search algorithm for allocating the individual tasks in a TST to platforms. The allocation also instantiates the parameters of the tasks such that all the constraints of the TST are satisfied. Constraints are used to model dependencies between tasks, resource usage as well as temporal and spatial requirements on complex tasks. Finally, we discuss a concrete case study with a team of unmanned aerial vehicles assisting in a challenging emergency situation.

Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7057
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-87978 (URN)10.1007/978-3-642-25920-3_20 (DOI)000307084200020 (ISI)978-3-642-25919-7 (ISBN)e-978-3-642-25920-3 (ISBN)oai:DiVA.org:liu-87978 (OAI)diva2:601008 (DiVA)
Available from2013-01-28 Created:2013-01-28 Last updated:2013-02-12

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Landén, DavidHeintz, FredrikDoherty, Patrick
By organisation
KPLAB - Knowledge Processing LabThe Institute of TechnologyArtificial Intelligence and Intergrated Computer systems
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 39 hits
ReferencesLink to record
Permanent link

Direct link