Autonomous Systems
October 28, 2026
Learn how a pick and place robot is trained to sort automotive parts using UMI gripper demonstrations, which parts suit it, and what to avoid
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...
Catch up on September 2026's humanoid robots news, from new launches and real-world deployments to the growing demand for physical AI training data
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 where the sim2real gap has closed, where it still breaks, and why robotics teams are investing in real-world data collection over just simulation.
