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To achieve the path planning of mobile robot for a correct destination and direction using fuzzy theory

机译:使用模糊理论实现正确目的地和方向的移动机器人的路径规划

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The self-adaptive robot's navigation and path planning is one of the most important research issues for the intelligent robots in industry. The correct direction and destination for the intelligent mobile robot is regarded that the robot can arrive in the desired destination with an accurate direction. This paper proposes the mobile robot route planning algorithm using two fuzzy logic controllers. The first controller is designed as the path planning for mobile robot. The second one is used for avoiding any obstacles to achieve the optimal route by switching over the controller output status. Therefore, the mobile robot can move toward the desired target with accurate direction successfully. In the proposed system, the ultrasonic sensor is employed for recognizing the obstacle and detecting the distance between them. Also, the laser navigation system (NAV 200) is used to implement the navigation function. Accordingly, the mobile robot is capable of adapting to a complicated and unknown changing environment. The experimental results confirm that the error of the destination axle (X and Y) does not exceed plusmn7cm, and the direction angle error is limited within plusmn10deg.
机译:自适应机器人的导航和路径规划是行业智能机器人最重要的研究问题之一。智能移动机器人的正确方向和目的地被认为机器人可以以精确的方向到达所需目的地。本文提出了使用两个模糊逻辑控制器的移动机器人路线规划算法。第一控制器被设计为移动机器人的路径规划。第二个用于避免通过切换控制器输出状态来实现最佳路线的任何障碍。因此,移动机器人可以成功地以精确的方向向所需的目标移动。在所提出的系统中,采用超声波传感器来识别障碍物并检测它们之间的距离。此外,激光导航系统(NAV 200)用于实现导航功能。因此,移动机器人能够适应复杂和未知的变化环境。实验结果证实,目的轴(x和y)的误差不超过plusmn7cm,并且方向角度误差在PlusMN10DEG中受到限制。

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