首页> 外文会议>Autonomic and Autonomous Systems, 2009. ICAS '09 >A 3-D Localization Algorithm for Robot Swarms under the Presence of Failures
【24h】

A 3-D Localization Algorithm for Robot Swarms under the Presence of Failures

机译:出现故障时机器人群体的3D定位算法

获取原文

摘要

In many applications, localization systems are important to enable unmanned vehicles (UV) operate autonomously. An example of such applications is the exploration of unknown terrains, such as the zone of an earthquake or a similar disaster. In any such scenarios errors in the UV's sensors or systems used for localization may be present. Due to the harsh environment, errors can not be avoided. Thus, a localization technique that can operate effectively even in the presence of errors is highly desirable. In this paper, a technique used for 3D localization is presented. The technique operates with heterogeneous swarm of autonomous robotic systems, is scalable and robust enough to attain a position estimate even in the presence of errors in the available sensor information.
机译:在许多应用中,定位系统对于使无人驾驶汽车(UV)自主运行很重要。这种应用程序的一个示例是探索未知地形,例如地震或类似灾难的区域。在任何此类情况下,都可能会出现用于定位的UV传感器或系统中的错误。由于恶劣的环境,无法避免错误。因此,非常需要即使在存在错误的情况下也可以有效地操作的定位技术。在本文中,提出了一种用于3D定位的技术。该技术与自主机器人系统的异构群一起运行,具有足够的可伸缩性和鲁棒性,即使在可用传感器信息中存在错误的情况下也可以获得位置估计。

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