Conference Proceedings

Decentralized Time Geography for Ad-Hoc Collaborative Planning

Martin Raubal, Stephan Winter, Christopher Dorr, KS Hornsby (ed.), C Claramunt (ed.), M Denis (ed.), G Ligozat (ed.)

SPATIAL INFORMATION THEORY, PROCEEDINGS | SPRINGER-VERLAG BERLIN | Published : 2009

Abstract

For an autonomous physical agent, such as a moving robot or a person with their mobile device, performing a task in a spatio-temporal environment often requires interaction with other agents. In this paper we study ad-hoc collaborative planning between these autonomous peers. We introduce the notion of decentralized time geography, which differs from the traditional time-geographic framework by taking into account limited local knowledge. This allows agents to perform a space-time analysis within a time-geographic framework that represents local knowledge in a distributed environment as required for ad-hoc coordinated action between agents in physical space. More specifically, we investigate..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council's Discovery


Funding Acknowledgements

The comments from three anonymous reviewers provided useful suggestions to improve the content and clarity of the paper. This work is supported under the Australian Research Councils Discovery Projects funding scheme (project number 0878119).