Abstract
This paper introduces a new approach to solve the pursuit problem based on a univector field method. In our proposed method, a set of robots work together instantaneously to find suitable moving directions and follow the univector field to surround and capture a prey robot. In addition, a set of strategies is proposed to make the pursuit problem more realistic in the real world environment. This is a general approach based on univector field, and it can be extended for an environment that contains static or moving obstacles. Experimental results show that our proposed algorithm is effective for the pursuit problem.
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Viet, H.H., An, S.H., Chung, T. (2012). Univector Field Method Based Multi-robot Navigation for Pursuit Problem. In: Altmann, J., Baumöl, U., Krämer, B. (eds) Advances in Collective Intelligence 2011. Advances in Intelligent and Soft Computing, vol 113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25321-8_11
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DOI: https://doi.org/10.1007/978-3-642-25321-8_11
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