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• W4280494312 abstract "In this paper, an improved artificial potential field (APF) method combined with Bug2 is proposed for dynamic obstacle avoidance of mobile robots, which eliminates the trajectory oscillations and avoids failure when encountering a complex obstacle. First, the problems of avoidance failure and trajectory oscillations of the relative position and velocity-based APF were analyzed. Then, a Bug2-based APF method is proposed by using the M-line of Bug2 to optimize the avoidance trajectory. The proposed method makes the angle of the virtual repulsion force tangent to the obstacle, which results in avoidance that the trajectory surrounds the obstacle along with the M-line. Finally, the effectiveness and practicability of the proposed method are demonstrated by performing many simulations and experiments. The results show that the proposed method can realize safe and autonomous dynamic obstacle avoidance and significantly improve the robot’s success rate and obstacle avoidance efficiency." @default.
• W4280494312 created "2022-05-22" @default.
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• W4280494312 date "2022-07-02" @default.
• W4280494312 modified "2023-09-23" @default.
• W4280494312 title "An Improved APF Method for Complex and Dynamic Obstacles’ Avoidance" @default.
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• W4280494312 doi "https://doi.org/10.1142/s2301385023410054" @default.
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