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Autonomous robot retrieval system

机译:自主机器人检索系统

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Mobile robots are used for exploration and object manipulation in hazardous environments, but in many cases human presence is still required posing a risk to the health and safety of the human operator. In order to operate fully autonomously in a completely unknown environment a mobile robot is required to both create a map of its environment and localize itself; this is known as simultaneous localization and mapping (SLAM). SLAM is a very active area of robotics research but many robot platforms using this technique are relatively large and more sophisticated than the mobile robot featured in this work. This work proposes a small, low-cost mobile robot platform for the autonomous retrieval of an object in a completely unknown environment using OpenRatSLAM. The main contribution of this project will be the implementation of a SLAM algorithm used in conjunction with vision based object recognition on a Lego NXT mobile robot.
机译:移动机器人用于危险环境中的勘探和物体操纵,但是在许多情况下,仍然需要有人在场,这对操作人员的健康和安全构成了威胁。为了在完全未知的环境中完全自主运行,需要移动机器人创建其环境地图并对其进行本地化。这就是同时定位和映射(SLAM)。 SLAM是机器人技术研究的一个非常活跃的领域,但是使用这项技术的许多机器人平台都比本研究中的移动机器人要大得多且复杂得多。这项工作为使用OpenRatSLAM在完全未知的环境中自动检索对象提供了一个小型,低成本的移动机器人平台。该项目的主要贡献将是在Lego NXT移动机器人上实现与基于视觉的目标识别结合使用的SLAM算法。

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