The goal of this paper is to develop and build intelligent nested-fuzzy logic controllers to effectively reduce the effects of electro-magnetic fields on rescuing autonomous mobile robots or manipulators navigating and working in damaged power plants or battle field environments. It is critically important to develop intelligent mobile robots to effectively reduce the effects of electro-magnetic fields to perform desired rescuing tasks in critical emergency situations. More specially, it is vital necessary to use those mobile robots to replace human rescuers to perform some dangerous rescuing tasks under the serious disaster or battle field circumstances.
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