LiDAR vs Depth Camera - AI Robot Dog | Map and Nav Ep 2

Part 1 ended with the Unitree Go2's navigation broken. This is the diagnosis why the built-in LiDAR couldn't build a usable map, what a Velodyne VLP-16, a Hesai PANDAR-40, and a Livox Mid-360 each see instead, and how a stack of depth cameras (Intel D435 / D455, Stereolabs ZED + ZED Mini, OAK-D Pro) compare for an AI robot dog that has to actually map a room. Stack: • Unitree Go2 (built-in 4D LiDAR L1 — non-repetitive) • Velodyne VLP-16, Hesai PANDAR-40, Livox Mid-360 (LiDAR contenders) • Intel RealSense D435 / D435i / D455, ZED, ZED Mini, OAK-D Pro (depth cams) • Jetson Orin Nano "gizmo" + ROS 2 + Claude Code Part 1 → What is SLAM (the foundation) Part 2 → THIS — picking the right sensor Part 3 → Sensor fusion + actually navigating 🔗 Project notes & build logs: https://www.makeorcode.com 🔗 More on the channel:    / @makeorcode   — CHAPTERS — 0:00 Why Part 1's navigation broke 0:59 Plotting what the Unitree L1 actually sees 3:32 The non-repetitive LiDAR problem (and walking robots) 6:11 What if I put the LiDAR on its back — Velodyne VLP-16 8:32 Hesai PANDAR-40 — more lines, more density 9:19 Livox Mid-360 — what everyone's actually using 10:31 The sensor pile I actually bought 11:47 The mount fixture — aluminum + IMU + Jetson Orin 13:31 Me from the future — added two Mid-360s 14:23 Why humanoids use depth cameras instead 14:30 Intel RealSense D435 / D435i 15:31 D455 — less range, more density 16:29 ZED & ZED Mini — CUDA required, 10m range 18:06 OAK-D Pro 18:49 Sourcing robot sensors under $150 on eBay 19:37 R2-D2 gets a depth camera first 22:12 Claude Code is doing the ROS 2 work now 23:44 What's next & subscribe — LINKS — Unitree Go2: https://shop.unitree.com go2_ros2_sdk: https://github.com/abizovnuralem/go2_... Velodyne VLP-16: https://velodynelidar.com Livox Mid-360: https://www.livoxtech.com Intel RealSense: https://www.intelrealsense.com Stereolabs ZED: https://www.stereolabs.com Luxonis OAK-D Pro: https://www.luxonis.com ROS 2 Humble: https://docs.ros.org ☕ Robots aren't cheap — help fund the parts bin → https://ko-fi.com/makeorcode Contacts -------------------------------- Inquiries: [email protected] Equipment Used -------------------------------- Sony FX30 - https://amzn.to/4mSPAkf Sony ZV-E1 - https://amzn.to/4jLDloL Sony ZV-E10 - https://amzn.to/3LwShKJ IFootage Shark Slider Nano II - https://amzn.to/3HxLz4M Sony FE 16-25mm F2.8 G Lens - https://amzn.to/49uEI7P Sony FE 24-70mm F2.8 GM II Lens - https://amzn.to/4jLDloL Sony E 15mm F1.4 APS-C - https://amzn.to/43zIzNQ *As an Amazon Associate, I earn from qualifying purchases #AIRobot #robotics #robot #UnitreeGo2 #LiDAR #depthcamera #ROS2 #SLAM #JetsonOrin #robotdog