智能机器人割草机设计

Kai-Sheng Wang, Chen-Kang Huang
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引用次数: 8

摘要

割草是维护草坪最基本的做法。然而,这可能是一项单调、麻烦和危险的工作。它是如此危险,石头和小树枝可以扔向操作员。一个人很难在整个过程中集中注意力,悲剧就会发生。目前,扫地机器人在市场上相当普遍。但是,对于机器人割草机来说,它并不是那么普遍。割草机机器人是基于计算机视觉和多种路径规划算法的割草机。在这项工作中,机器人割草机被设计成可以运行两次来完成它的工作。在第一轮中,SLAM (Simultaneous Localization and Mapping)算法是实现地图构建的主要方法,割草机也通过割草机后部的摄像头对未割区域进行充分记录。在第二轮中,割草机瞄准已标记的区域,通过A*搜索和深度优先搜索(DFS)向该区域移动,实现最短路径规划。因此,它比其他采用随机算法的割草机具有更高的效率和更高的智能。
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Intelligent Robotic Lawn Mower Design
Mowing is the most fundamental practice to maintain lawn. However, this can be a monotonous, troublesome and dangerous work. It is so parlous that stones and twigs can be thrown out to the operator. It is quite difficult for person to focus during the entire period of time and tragedy can occur. Currently, the sweeping robots are quite common on the market. But, it is not so general to robotic lawn mower. Robotic lawn mower is based on computer vision and several path planning algorithms. In this work, robotic lawn mower is designed that it will run two times to finish its job. At the first round, Simultaneous Localization and Mapping (SLAM) algorithm is the main method to realize the map building, and mower also record the area which is unmown adequately via the camera on the rear of mower. At the second round, mower aims to the area has been marked and move to the area by A* Search and Depth First Search (DFS) to realize the shortest path planning. Therefore, it can perform the better efficiency than other mower which adapted random algorithm and much intelligent.
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