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Modified Critical Point – A Bug Algorithm for Path Planning and Obstacle Avoiding of Mobile Robot

机译:改进的临界点–一种用于移动机器人路径规划和避障的错误算法

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摘要

Path planning is one of the basic problems of Autonomous Mobile Robot. The mobile robot supposed to be able to work in an unfamiliar situation using an automatic plan determined by locally sensed information. In the case of real-time environments speed calculation and rescheduling of path is essential to bypass the moving obstacle and make collision free path of robot. Robot movement planning in dynamic condition requires the actions to be selected under real-time control. To avoid run-time obstacles a new approach is presented in this paper based on Bug Algorithm. This proposed ModifiedCriticalPointBug(MCPB) algorithm, is a new Bug algorithm for path planning of mobile robots. This algorithm is carried out by the robot after regular interval, thus permitting the robot to correct its path if a new obstacle comes into the path or the old one move in a new route. As a result, the robot not only bypasses collision but also makes almost optimal path by making a sequence of run time modification in its path.
机译:路径规划是自主移动机器人的基本问题之一。使用本地感知信息确定的自动计划,该移动机器人应该能够在不熟悉的情况下工作。在实时环境中,速度计算和路径重新安排对于绕过移动障碍物并实现机器人的无碰撞路径至关重要。动态条件下的机器人运动计划要求在实时控制下选择动作。为了避免运行时的障碍,本文提出了一种基于错误算法的新方法。提出的ModifiedCriticalPointBug(MCPB)算法是一种用于移动机器人路径规划的新Bug算法。该算法由机器人在固定间隔后执行,因此,如果新障碍物进入了路径或旧障碍物沿新路线移动,则允许机器人校正其路径。结果,机器人不仅绕过碰撞,而且还通过在其路径上进行一系列运行时修改来形成几乎最佳的路径。

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