This Open-Source Localization Project BEATS ROS AMCL! 🤖 | Better Accuracy Explained скачать в хорошем качестве

This Open-Source Localization Project BEATS ROS AMCL! 🤖 | Better Accuracy Explained

🔥 A Practical LiDAR Localization Enhancement for ROS! In this video, we dive into an impressive open-source project that's improving robot localization. Say goodbye to AMCL limitations and hello to superior accuracy, especially when dealing with robots that have less-than-perfect odometry! ⚡️ Key Highlights: Better accuracy than ROS AMCL in challenging scenarios Perfect for robots with poor encoder odometry Simple integration with ROS navigation stack Fully open-source and ready to use 🛠 Quick Implementation: Just replace your AMCL node with this solution - it's that simple! Check out the full installation guide and documentation in the description below. 🔗 GitHub Repository: https://github.com/6-robot/jie_ware #robotics #ROS #SLAM #opensource #robotnavigation #lidar #autonomousrobots ⏱ Timestamps: 0:00 - Introduction 0:08 - limitations of AMCL 3:20 - Performance Comparison 5:50 - Installation Guide 8:00 - Ready to go! 💡 Don't forget to like, subscribe, and hit the notification bell to stay updated on more robotics content! Have questions? Drop them in the comments below! 👇