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Control of collision avoidance for swarm robots foraging in complex environment

机译:群机器人在复杂环境中觅食的避碰控制

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摘要

The collision avoidance is an ineviatable problem for swarm robots foraging in complex environment. The robot not only to avoid collision with other robots, but also to avoid collision with static obstacles in the environment. In this paper, a new control policy that make the best of use of quantitative superiority was designed based on the improved artificial potential force. In the control strategy, swarm robots can perform the conllision advoidance behavior effectively. The simulation results demonstrated the effectiveness of the control strategy.
机译:对于群体机器人在复杂环境中觅食而言,避免碰撞是不可避免的问题。该机器人不仅要避免与其他机器人发生碰撞,而且还要避免与环境中的静态障碍物发生碰撞。本文基于改进的人工势力,设计了一种充分利用定量优势的新控制策略。在控制策略中,群体机器人可以有效地执行避碰行为。仿真结果证明了该控制策略的有效性。

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