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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ros-level2-muhammadasem/
课程评论：没有评论
课程名称：ROS Level 2: Simulation & Hardware Implementation for SLAM 课程简介：本课程是第一门教授ROS（机器人操作系统）的课程，旨在提供一个密集且精炼的学习体验。虽然可离线完成时间为12小时以上，但本在线课程经过精心编辑，确保在内容、声音和视频质量上达到最佳效果。该课程真实地体现了79.99美元的价值，绝非低价课程的伪装，它包含了作者希望在攻读硕士论文前学习到的实用知识。 本课程是“三层级课程：从零基础到高手”的第三层级，覆盖了ROS的基本知识，从零基础到最终实现在真实硬件上进行SLAM（同步定位与地图构建）。这一级课程专注于单一的高级项目——SLAM在真实移动机器人上的实现，旨在提供深入和全面的体验，而不是多个浅层项目。 在本课程中，学员将学会如何模拟和可视化机器人传感器及其周围环境；如何将Arduino、Raspberry Pi、Kinect传感器等各种传感器与ROS进行连接；并获得经过开罗大学工程学院硕士委员会认证的实操经验。课程内容包括： - 模拟传感器及其环境的技巧 - 可视化真实传感器数据的方法 - 使用URDF格式描述机器人的链接和关节 - 理解同步定位与地图构建（SLAM）及如何利用ROS解决该问题 - 如何将ROS与Arduino、Raspberry Pi、直流电机、其他计算机、键盘、Kinect传感器和WIFI接口 - 如何无缝切换从模拟到现实世界的实施 - 如何对真实环境进行地图构建及定位 期待在课程中见到你！
Join the FIRST course that teaches ROS "Robot Operating system"This is an intensive and concise course that could be token offline in 12+ hours due to distractions, breaks and fatigue. This online course was well edited and revised to give you the maximum possible quality in content, sound and video.This is not a 10 $ Course that is disguised in 79.99$. It is a real high-value course with a real 79.99$ value that I wished I have before I do my master thesisThis is Level 3 of my Three-level course: "ROS from Zero to hero a consistent hands-on approach" which covers ROS from scratch with no Linux background till the real implementation of SLAM on Real hardware. You can find it on my udemy profile.This level will pick the fruits planted in the past two levels "Linux and ROS basics" to start building and implementing the big real projectI choose to cover only single advanced project which is SLAM "Simultaneous Localization and Mapping" on a real hardware mobile-robot to give you a deep and comprehensive experience till the end of the tedious implementation cycle instead of giving you multiple shallow projects that will not give you a real-world problems.In this course you will be able to simulate and visualize the robot sensors and the surrounding environment. You will be able to interface Arduino, Raspberry Pi and Kinect sensor as well as other sensors to ROS.My Course offers you a real hands-on experience that is certified by my master committee at faculty of engineering Cairo university, because this course and tactics was a part of the practical part of my master thesis about SLAMThis course in points:How to simulate the sensors and the environmentHow to visualize the real sensor data.How to describe your robot links and joints in a URDF format.What is Simultaneous Localization And Mapping SLAM and how to use ROS to solve it?How to interface ROS with Arduino, Raspberry Pi, DC motors another computer, keyboard, Kinect sensor, and WIFI.How to go from simulation to real world implementation seamlesslyHow to map your real environment as well as localizationSee you soon on the course
