This Open-Source Localization Project BEATS ROS AMCL! 🤖 | Better Accuracy Explained
Автор: Robotic Artisan
Загружено: 2025-02-23
Просмотров: 1410
Описание:
🔥 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!
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Have questions? Drop them in the comments below! 👇
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