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evolutionary fuzzy force control for effective mobile robot navigation
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نویسنده
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golkhatab majid ,shahmansoorian aref ,davoudi mohsen
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منبع
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iranian journal of electrical and electronic engineering - 2025 - دوره : 21 - شماره : 4 - صفحه:27 -43
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چکیده
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This paper presents a novel hybrid navigation approach for autonomous mobile robots in obstacle-rich environments. the method integrates artificial potential fields for obstacle avoidance with fuzzy logic for path planning, which is optimized by a genetic algorithm to enhance adaptability and robustness to sensor uncertainties. experimental results demonstrate significant improvements over traditional artificial potential field methods and are validated through real-time implementation on a ros-based mobile robot.
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کلیدواژه
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autonomous mobile robot ,fuzzy logic system optimization ,hybrid approach ,path planning
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آدرس
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imam khomeini international university, faculty of technical and engineering, department of electrical engineering, iran, imam khomeini international university, faculty of technical and engineering, department of electrical engineering, iran, imam khomeini international university, faculty of technical and engineering, department of electrical engineering, iran
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پست الکترونیکی
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davoudi@ikiu.ac.ir
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Authors
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