ROS for Beginners II: Localization, Navigation and SLAM

🌟 **Overview** 🌟 The global course rating stands at an impressive 4.36, indicating that the majority of students find it valuable and informative. The course is designed to provide a comprehensive introduction to Robot Operation System (ROS) and its applications in localization and navigation within the field of robotics. It covers both theoretical concepts and practical implementations, although some users have noted that for beginners, especially those without prior knowledge in robotics or related programming concepts, the course may require additional foundational learning. **Pros:** - The professor is **very knowledgeable and experienced** in the topic, providing a solid foundation for students. - The course offers a **complete introduction to ROS**, along with fundamental topics in robotics. - It includes **comprehensive explanations** for several key concepts in robotics. - The course structure is **well-organized** and the content is explained in a clear and simple manner by the instructor. - Most students report that the course effectively fills the gaps between ROS and navigation concepts, which are crucial for anyone working in this domain. - It is beneficial for those currently working on projects involving indoor robotic navigation using LiDAR. - The theoretical concepts are well-explained and then implemented in code, which is a practical approach to learning. **Cons:** - Some users have indicated that the course misses **key information and content**, particularly in terms of specific commands to run in terminal and detailed documentation. - A few students have noted that the videos could be of better quality, suggesting a more structured and planned video format. - There is an expectation for more **code examples** throughout the lectures, especially for complex approaches like BUG0, BUG1, or BUG2. - The course has been criticized for its lack of **interactive components**, as the instructor does not always respond to queries or provide solutions to open problems. - For some students, there was an expectation for a more balanced mix of theoretical and practical content, with a few expressing a desire for real-world robot implementations. - Section 9 is noted to be particularly challenging without accompanying notes for better follow-up. - Some users have mentioned that the course might be more effective if students had prior knowledge of ROS basics before diving in. **Additional Feedback:** - The documentation and supplementary materials could be improved to include important details in text files and links as referenced during lectures. - A few users suggest that the course would benefit from more practical projects and hands-on assignments to enhance learning and provide real-world experience. - It is clear from the feedback that while the theoretical aspects of the course are well covered, many students were looking forward to seeing these concepts applied to a real robot in action. Overall, the course is highly regarded for its depth and clarity on the subject matter, with room for improvement in terms of practical examples, interactive engagement, and supplementary materials. It is recommended for individuals with some background in ROS or robotics who are looking to deepen their understanding of navigation and SLAM within robotic systems.