See how SLAM VR tracking works inside a headset, where it fails, and why a drifting head pose weakens egocentric and teleoperation data.
Explore the main types of lidar sensors, how they measure distance, and which types of robots are best suited to 2D, 3D, flash, and FMCW...
Learn why some humanoids use lidar robotics while others rely on cameras, how each sensor compares, and what that choice means for robot training data.
See how a LeRobot dataset stores robot demonstrations, how it compares with older formats, and what can get lost in the conversion to LeRobot.
Explore what makes the EgoDex dataset useful for robotics, from hand pose and task design to language annotations, and how to evaluate egocentric datasets.
Learn what dexterous manipulation means, why timing and contact data are key, and how multimodal datasets train reliable robot-hand policies
See how we built a SLAM robotics pipeline that turns bimanual demonstrations into reliable camera trajectories, and why ORB-SLAM3 alone wasn't enough.
Explore real-world applications of robotics across warehouses, factories, farms, and aerospace, and learn how physical AI and high-quality data power intelligent robots.
