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Decision Making as Optimization in Multi-robot Teams

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Distributed Computing and Internet Technology (ICDCIT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7154))

Abstract

A key challenge in multi-robot teaming research is determining how to properly enable robots to make decisions on actions they should take to contribute to the overall system objective. This article discusses how many forms of decision making in multi-robot teams can be formulated as optimization problems. In particular, we examine the common multi-robot capabilities of task allocation, path planning, formation generation, and target tracking/observation, showing how each can be represented as optimization problems. Of course, globally optimal solutions to such formulations are not possible, as it is well-known that such problems are intractable. However, many researchers have successfully built solutions that are approximations to the global problems, which work well in practice. While we do not argue that all decision making in multi-robot systems should be based on optimization formulations, it is instructive to study when this technique is appropriate. Future development of new approximation algorithms to well-known global optimization problems can therefore have an important positive impact for many applications in multi-robot systems.

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Authors and Affiliations

  1. University of Tennessee, Knoxville, TN, 37996-3450, USA

    Lynne E. Parker

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  1. Lynne E. Parker
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Editors and Affiliations

  1. Institute of Mathematical Sciences, C.I.T. Campus, Taramani, 600113, Chennai, India

    R. Ramanujam

  2. Industrial Software Systems, ABB Corporate Research Center, Bangalore, India

    Srini Ramaswamy

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Parker, L.E. (2012). Decision Making as Optimization in Multi-robot Teams. In: Ramanujam, R., Ramaswamy, S. (eds) Distributed Computing and Internet Technology. ICDCIT 2012. Lecture Notes in Computer Science, vol 7154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28073-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-28073-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28072-6

  • Online ISBN: 978-3-642-28073-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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