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Repeated Auctions for Reallocation of Tasks with Pickup and Delivery upon Robot Failure

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PRIMA 2013: Principles and Practice of Multi-Agent Systems (PRIMA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8291))

Abstract

The task allocation problem with pickup and delivery is an extension of the widely studied multi-robot task allocation (MRTA) problem which, in general, considers each task as a single location to visit. Within the robotics domain distributed auctions are a popular method for task allocation [4]. In this work, we consider a team of autonomous mobile robots making deliveries in an office-like environment. Each robot has a set of tasks to complete, and each task is composed of a pickup location and a delivery location. The robots seek to complete their assigned tasks either minimising distance travelled or time taken according to a global team objective. During execution, individual robots may fail due to malfunctioning equipment or running low on battery power.

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Author information

Authors and Affiliations

  1. ARC Centre of Excellence for Autonomous Systems and NICTA, School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia

    Bradford Heap & Maurice Pagnucco

Authors
  1. Bradford Heap
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  2. Maurice Pagnucco
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica,, Università degli Studi di Torino, via Pessinetto 12,, 10149, Torino, Italy

    Guido Boella

  2. Division of Mathematical Sciences, Nanyang Technological University, Singapore

    Edith Elkind

  3. Department of Information Science, University of Otago, Dunedin, New Zealand

    Bastin Tony Roy Savarimuthu  & Martin K. Purvis  & 

  4. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

    Frank Dignum

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© 2013 Springer-Verlag Berlin Heidelberg

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Heap, B., Pagnucco, M. (2013). Repeated Auctions for Reallocation of Tasks with Pickup and Delivery upon Robot Failure. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds) PRIMA 2013: Principles and Practice of Multi-Agent Systems. PRIMA 2013. Lecture Notes in Computer Science(), vol 8291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44927-7_35

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  • DOI: https://doi.org/10.1007/978-3-642-44927-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-44926-0

  • Online ISBN: 978-3-642-44927-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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