Robust Odometry and Fully Autonomous Driving Robot | ATCrawler x FAST-LIO x Navigation2

This video is to setup the FAST-LIO, highly robust LiDAR-inertial Odometry system with our ATCrawler. The 3D map and pointcloud data could be generated from this package. Th Navigation2 is used for an indoor-outdoor navigation and 2D map is created by slam_toolbox package. This video is sponsored PCBWay. They provides a full feature custom prototype from PCB, PCBA, 3D printing, CNC machining, laser cutting, and sheet metal bending. For more detail, please check it on, https://pcbway.com/g/9GW6N0 You will get $5 of New User Free Credit for your first order. Timeline: 0:00 Intro 0:45 FAST-LIO Intro 2:08 LIVOX MID-360 review 2:50 3D printed design for MID-360 4:19 Hardware overview 5:05 Install and configure 6:44 Odometry testing 9:04 Making 2D map 10:26 Start Navigation 11:52 Outdoor Mapping 13:17 End For more detail about ATCrawler and AT Motor Driver, the part that I am using in this video, please check out, https://attraclab-shop.com For more detail about FAST-LIO, please check out, https://www.youtube.com/@marslabhku1418 For more detail about Navigation2, please check out, https://github.com/ros-navigation/navigation2 #robots #ugv #mobilerobots #ardupilot #programming #ai #technology #pcbway #3dprinting #webapplicationdevelopment