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Multi-robot Rounding Strategy Based on Artificial Potential Field Method in Dynamic Environment

机译:动态环境中基于人工势场法的多机器人取舍策略

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This paper proposes an obstacle avoidance and formation rounding strategy based on the improved artificial potential field method, which can give full play to the advantages of strong real-time artificial field method, good online computing ability and fast local processing ability, so that the car formation can be based on safety. Smoothly avoid dynamic and static obstacles in the environment to complete the round-up of moving targets. The MATLAB simulation platform is used to realize the dynamic obstacle avoidance and target rounding of the car, which fully verifies the correctness and the effectiveness of the proposed strategy.
机译:本文提出了一种基于改进的人工势场法的避障和掩护四舍五入策略,该方法可以充分发挥实时性强的现场法,良好的在线计算能力和快速的局部处理能力等优点。形成可以基于安全性。平稳地避开环境中的动态和静态障碍,以完成对移动目标的汇总。利用MATLAB仿真平台实现了汽车的动态避障和目标绕行,充分验证了所提策略的正确性和有效性。

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