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- W2402662188 abstract "This paper addresses a problem of determining goal candi- dates in the frontier-based mobile robot exploration. The proposed solu- tion is based on self-organizing map for the traveling salesman problem with neighborhoods and it allows to study the exploration formulated as a problem of repeated coverage of the current frontiers where the minimal number of goal candidates is determined simultaneously together with the expected cost to visit the candidates. The early results enabled by the proposed self-organizing map-based solution indicate exploration improve- ment for the proposed problem formulation. The presented work demon- strates how neural network approach can provide interesting insights and ground for studying optimizations problems arising in robotics." @default.
- W2402662188 created "2016-06-24" @default.
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- W2402662188 date "2014-01-01" @default.
- W2402662188 modified "2023-09-23" @default.
- W2402662188 title "Self-organizing map for determination of goal candidates in mobile robot exploration" @default.
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