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An Approach for Task Execution in Dynamic Multirobot Environment

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11320))

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Abstract

In this paper we consider the problem of task execution in dynamic environments. We introduce a formal framework of a dynamic environment, and model the behavior of the robots using communicating automata. Based on the model we suggest a distributed approach for task execution that can handle multiple tasks that arrive at same instant of time. We have implemented the approach using ARGoS–a multirobot simulator.

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References

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Amar Nath, A. R. Arun & Rajdeep Niyogi

Authors
  1. Amar Nath
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  2. A. R. Arun
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  3. Rajdeep Niyogi
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Corresponding author

Correspondence to Amar Nath .

Editor information

Editors and Affiliations

  1. University of Canterbury, Christchurch, New Zealand

    Tanja Mitrovic

  2. School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

    Bing Xue

  3. RMIT University, Melbourne, VIC, Australia

    Xiaodong Li

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Nath, A., Arun, A.R., Niyogi, R. (2018). An Approach for Task Execution in Dynamic Multirobot Environment. In: Mitrovic, T., Xue, B., Li, X. (eds) AI 2018: Advances in Artificial Intelligence. AI 2018. Lecture Notes in Computer Science(), vol 11320. Springer, Cham. https://doi.org/10.1007/978-3-030-03991-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-03991-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03990-5

  • Online ISBN: 978-3-030-03991-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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