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- W2034339523 abstract "To fit well the needs of autonomous mobile manipulator, two robust adaptive Neuro-Fuzzy motion controllers are developed. The first controller, based on a computational efficient processing scheme for fuzzy reactive navigation, is used to generate the commands for the servo-systems of robot arm so that, locally, it may choose its way to its goal autonomously. The second fuzzy reactive navigation is implemented in mobile platform so that it maintains a permanent flexible path between two nodes in network generated by a probabilistic roadmap approach. In order to consider the compatibility of stabilisation, mobilisation and manipulation, we derive a coordinated fuzzy local planner algorithm so that the mobile manipulator can avoid stably unknown and/or dynamic obstacles The purpose of an integration of robust controller and Modified Elman Neural Network is to deal with unmodeled bounded disturbances and/or unstructured unmodeled dynamics." @default.
- W2034339523 created "2016-06-24" @default.
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- W2034339523 date "2004-01-01" @default.
- W2034339523 modified "2023-10-06" @default.
- W2034339523 title "Robust neuro-fuzzy navigation of mobile manipulator among dynamic obstacles" @default.
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- W2034339523 doi "https://doi.org/10.1109/robot.2004.1302518" @default.
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