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• W2216559346 abstract "Visual recognition in multi-robot systems is afflicted with a peculiar problem that observations made from different viewpoints bring different perspectives. Due to the lack of a discriminable representation between a target and its surroundings in different viewpoints, realizing cognitive sharing of the object among the robots in an unconstructed environment is a challenging issue. In this paper, we propose novel description algorithms of the target representation based on ambiguity minimization of peripheral context. The target is represented by a labeled-graph and its structure is determined by minimizing a metric of representational ambiguity using an entropy evaluation with metaheuristics. Experimental results show the significantly improvement of cognitive sharing by the proposed method." @default.
• W2216559346 created "2016-06-24" @default.
• W2216559346 creator A5050546894 @default.
• W2216559346 creator A5071434437 @default.
• W2216559346 date "2015-09-01" @default.
• W2216559346 modified "2023-09-27" @default.
• W2216559346 title "Cognitive sharing of object with subgraph matching and entropy minimization in multi robot systems" @default.
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• W2216559346 doi "https://doi.org/10.1109/iros.2015.7353718" @default.
• W2216559346 hasPublicationYear "2015" @default.
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