图 书 馆
机器人导航的概率技术Probabilistic Techniques for Robot Navigation |
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| 课程网址: | http://videolectures.net/interACT2016_burgard_robot_navigation/ |
| 主讲教师: | Wolfram Burgard |
| 开课单位: | 弗莱堡大学 |
| 开课时间: | 2016-07-31 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Probabilistic approaches have been discovered as one of the most powerful approaches to highly relevant problems in mobile robotics including perception and robot state estimation. Major challenges in the context of probabilistic algorithms for mobile robot navigation lie in the questions of how to deal with highly complex state estimation problems and how to control the robot so that it efficiently carries out its task. In this talk, I will present recently developed techniques for efficiently learning a map of an unknown environment with a mobile robot. I will also describe how this state estimation problem can be solved more effectively by actively controlling the robot. For all algorithms I will present experimental results that have been obtained with mobile robots in real-world environments including autonomous cars, logistics applications, and robots navigating in city environments. |
| 关 键 词: | 概率方法; 移动机器人导航概率算法; 控制机器人 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-11-27：zkj |
| 最后编审: | 2021-11-27：zkj |
| 阅读次数: | 66 |