首页> 外文会议>2018 International Conference on Engineering and Emerging Technologies >Implementation of an autonomous path planning obstacle avoidance UGV using SLAM
【24h】

Implementation of an autonomous path planning obstacle avoidance UGV using SLAM

机译:使用SLAM实现自主路径规划和避障UGV

获取原文
获取原文并翻译 | 示例

摘要

Conceptual wise the word “Autonomous” associated with a machine means “a system that works without any intervention of human being” hence in today's era majority of the jobs are replaced by robots for performing numerous tasks i e manipulating objects from one place to another, path covering with detection of safe paths and wielding etc. These are the tasks which require maximum attention, accuracy and must have health/safety measurements hence in coming future one may see the availability of robots performing domestic as well as industrial tasks more than humans in various fields. Keeping this in view this research paper suggests an implementation of an autonomous path planning and obstacle avoidance robot using simultaneous mapping and localization SLAM algorithm. This paper may not only provide the study about the most frequent problems which are how to locate an Unmanned Ground Vehicle UGV and how to keep UGV on its path but in addition to this, it also suggests the incorporation of GPS module with SLAM based UGV for further coordination. After going through this paper one can understand the implementation of SLAM algorithm, how to create maps for path planning and last but not the least localization of obstacles.
机译:从概念上讲,与机器相关的“自治”一词的意思是“一种无需人工干预即可工作的系统”,因此在当今时代,大部分工作已被机器人代替,以执行许多任务,即从一个地方到另一个地方操纵物体这些任务需要最大的关注和准确性,并且必须进行健康/安全测量,因此,在未来的将来,人们可能会看到机器人在执行家庭和工业任务方面比在各种方面的人类要多领域。考虑到这一点,本研究提出了一种使用同时映射和定位SLAM算法的自主路径规划和避障机器人的实现。本文不仅可以提供关于最常见问题的研究,如如何定位无人地面车辆UGV以及如何使UGV保持在其路径上,而且还建议将GPS模块与基于SLAM的UGV结合使用。进一步协调。阅读完本文后,您将了解SLAM算法的实现,如何为路径规划创建地图以及障碍的最后但并非最不重要的定位。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号