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Obstacle avoidance path planning strategy for robot arm based on fuzzy logic

机译:基于模糊逻辑的机器人手臂避障路径规划策略

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In this paper, a novel path planning strategy based on fuzzy logic for a robot arm with a fixed pedestal is proposed, and the simulation environment conditions in which the robot arm works are specific and unpredictable. First, considering a simple working platform set in front of the robot arm system, it will become an obstacle when robot is working. Second, an obstacle avoidance path planning strategy is designed and the coordinates of robot arm end are used to achieve close-loop control. In addition, fuzzy control theory is applied to design a fuzzy path planning controller, and a dangerous sign is introduced to avoid obstacle. Finally, the experiments simulated on a two-joint robot arm with a fixed pedestal is given. The results show the feasibility and safety of the proposed path planning strategy.
机译:本文提出了一种基于模糊逻辑的具有固定基座的机器人手臂路径规划策略,并且该机器人手臂工作的仿真环境条件是特定且不可预测的。首先,考虑在机器人手臂系统前面设置一个简单的工作平台,它将在机器人工作时成为障碍。其次,设计了避障路径规划策略,并利用机器人手臂末端的坐标来实现闭环控制。另外,运用模糊控制理论设计了模糊路径规划控制器,并引入了危险标志以避开障碍物。最后,给出了在具有固定基座的两关节机器人手臂上进行的仿真实验。结果表明了所提出的路径规划策略的可行性和安全性。

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