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An obstacle avoidance system for mobile robotics based on the virtual force field method

机译:基于虚拟力场方法的移动机器人避障系统

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A basic task an autonomous mobile vehicle must perform in any environment is moving from its current position to a desired position. In order to do so, a capacity to avoid obstacles should be present. However, sensors introduce measurement errors that increase the uncertainty regarding the robot current state. In this work, an obstacle avoidance algorithm based on the methodology of the field of virtual forces for path planning will be implemented. This algorithm is based on a heuristic optimization of the balance between two design objectives: the fast convergence to the objective position and navigation free of collisions. The obstacle avoidance system will be tested on a mobile robot, the Pioneer 3at®, using its front facing sonars for sensing its environment.
机译:一个基本任务自主移动车辆必须在任何环境中执行从其当前位置移动到所需位置。为了这样做,应该存在避免障碍的能力。然而,传感器引入了增加关于机器人当前状态的不确定性的测量误差。在这项工作中,将实现基于用于路径规划的虚拟力领域方法的障碍避免算法。该算法基于两个设计目标之间平衡的启发式优化:对目标位置和导航无碰撞的快速收敛性。障碍物避免系统将在移动机器人,先锋3AT上进行测试 ® ,使用其前面的尸体来传感其环境。

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