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An algorithm for on-line path planning of autonomous mobile overhead traveling crane based on obstacle information

机译:基于障碍信息的自主移动架空行驶起重机在线路径规划算法

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This paper presents a method for establishing a three-dimensional (3-D) autonomous mobile overhead crane system that takes into account obstacle avoidance and path planning real-time. It is especially necessary for the real-time path planning occurring during transferring to be carried out relatively quickly. This paper describes a method of path planning that can be carried out in a short time with an easy algorithm. This target crane system has three different parts: a visual system, a planning system, and a control system. In the visual system, ultrasonic sensors are used to renovate a partial environmental map during transferring with the quick scanning time. In the planning system, a proposed on-line path-planning method based on the expanded path-planning method of Srinivas allows for changes such as a change in the transportation environment to be made during the transferring. On-line path planning has been achieved using information regarding obstacles around the object being manipulated, as obtained by ultrasonic sensor. Finally, we have deduced the optimal parameter to transfer environment in consideration of transfer time and transfer cost.
机译:本文介绍了建立三维(3-D)自主移动架空起重机系统,该系统考虑了障碍避免和路径规划的实时。在转移期间发生的实时路径规划特别需要相对较快地进行。本文介绍了一种路径规划的方法,可以在短时间内以简单的算法在短时间内进行。该目标起重机系统有三个不同的部分:视觉系统,规划系统和控制系统。在视觉系统中,超声波传感器用于通过快速扫描时间转移期间翻新部分环境贴图。在规划系统中,基于Srinivas的扩展路径规划方法的提出的在线路径规划方法允许更改,例如在转移期间进行运输环境的变化。已经使用关于由超声波传感器获得的对象周围的障碍物的信息来实现在线路径规划。最后,考虑到转移时间和转移成本,我们已经推导出最佳参数来传输环境。

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