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所在平台: Udemy |
课程主页: https://www.udemy.com/course/self-driving-and-ros-2-learn-by-doing-map-localization/
课程评论：没有评论
**课程名称：** Self Driving and ROS 2 - Learn by Doing! Map & Localization **课程概述：** 本课程旨在通过实际操作，教授学员使用 ROS 2（Robot Operating System 的第二版）构建真实的自动驾驶机器人。学员将深入学习机器人自主导航的理论和实践知识，重点关注定位（Localization）、建图（Mapping）和同步定位与建图（SLAM）。 课程秉承“在实践中学习”的教学理念，强调通过动手实践来巩固知识。学员将全面的学习 ROS 的各项功能，并结合理论讲解、简单实践案例和真实机器人应用，分层掌握概念。 **课程亮点：** * **实践驱动：** 大量动手实践，学习效率更高。 * **ROS 2 核心技术：** 深入研究定位、建图和 SLAM。 * **理论与实践结合：** 每个知识点都包含理论、简单实践和真实机器人应用。 * **双语言编程：** 提供 Python 和 C++ 两种编程语言的教学，满足不同学员需求。 * **行业专家指导：** 由行业专家授课，确保知识的前沿性和实用性。 **学习收获：** 通过本课程的学习，学员将深刻理解自动驾驶机器人和 ROS 2 的工作原理，掌握关键的自主导航技术，为在机器人领域开启职业生涯打下坚实基础。
Would you like to build a real Self-Driving Robot using ROS2, the second and last version of the Robot Operating System, by building a real robot?Would you like to get started with Autonomous Navigation of robots and dive into the theoretical and practical aspects of Localization, Mapping, and SLAM from industry experts?The philosophy of this course is the Learn by Doing and quoting the American writer and teacher Dale Carnegie Learning is an Active Process. We learn by doing; only knowledge that is used sticks in your mind.In order for you to master the concepts covered in this course and use them in your projects and also in your future job, I will guide you through the learning of all the functionalities of ROS, both from a theoretical and practical point of view.Each section is composed of three parts:Theoretical explanation of the concept and functionalityUsage of the concept in a simple Practical exampleApplication of the functionality in a real RobotThere is more! All the programming lessons are developed using both Python and C++. This means that you can choose the language you are most familiar with or become an expert Robotics Software Developer in both programming languages!By taking this course, you will gain a deeper understanding of self-driving robots and ROS 2, which will open up opportunities for you in the exciting field of robotics.
