Hybrid Dynamic Fuzzy Cognitive Maps Evolution for autonomous navigation system | IEEE Conference Publication | IEEE Xplore

Hybrid Dynamic Fuzzy Cognitive Maps Evolution for autonomous navigation system


Abstract:

This work develops a knowledge-based system to autonomous navigation using Fuzzy Cognitive Maps (FCM). A new variant of FCM, named Hybrid-Dynamic Fuzzy Cognitive Maps (HD...Show More

Abstract:

This work develops a knowledge-based system to autonomous navigation using Fuzzy Cognitive Maps (FCM). A new variant of FCM, named Hybrid-Dynamic Fuzzy Cognitive Maps (HD-FCM), is used to model decision tasks and/or to make inference into a mobile navigation context. Fuzzy Cognitive Maps are a tool that model qualitative structured knowledge through concepts and causal relationships. The proposed model allows representing the dynamic behavior of a mobile robot in presence of environment changes. A brief review of correlated works in the navigation area, using FCM evolutions, is presented. Some simulation results are discussed and compared with Weighted Fuzzy System for shows the ability of the mobile to navigate among obstacles in different scenarios (navigation environment).
Date of Conference: 02-05 August 2015
Date Added to IEEE Xplore: 30 November 2015
ISBN Information:
Conference Location: Istanbul, Turkey

References

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