RESEARCH ON SLAM TECHNOLOGY OF ROBOT BASED ON ROS

Y. Chen, C. Li, Y. Zhou, F. Che, H. Li
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引用次数: 1

Abstract

With the development of the times, robotics technology has gradually been no longer confined to the laboratory, but more integrated into the lives of the public. As a researcher in the field of intelligent science, one should contribute his own contribution to the development of robotics. The visual processing of robots is an important topic in today's science and technology circles, and my team and I have developed a strong interest in this field. For the specific realization of visual processing, we have selected a technology that is very close to the lives of ordinary people-SLAM mapping technology and application for related research. I will use the construction of ROS robot as a starting point to briefly explain how to develop and apply SLAM algorithms on the ROS platform. At the same time, I will explore the derivation of SLAM algorithms-the role and difference of Hector algorithm and Karto algorithm in building maps. By sharing some of my insights on SLAM technology, I believe it can provide some reference for subsequent research.
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基于ros的机器人碰撞技术研究
随着时代的发展,机器人技术已经逐渐不再局限于实验室,而是更多地融入了大众的生活。作为智能科学领域的研究人员,应该为机器人技术的发展做出自己的贡献。机器人的视觉处理是当今科技界的一个重要课题,我和我的团队对这个领域产生了浓厚的兴趣。对于视觉处理的具体实现,我们选择了一种非常贴近普通人生活的技术——slam制图技术及其应用进行相关研究。我将以ROS机器人的构建为出发点,简要说明如何在ROS平台上开发和应用SLAM算法。同时探讨SLAM算法的衍生——Hector算法和Karto算法在地图构建中的作用和区别。通过分享我对SLAM技术的一些见解,相信可以为后续的研究提供一些参考。
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