Tag: 3D Gaussian Splatting

For over a decade, the gold standard for industrial autonomous mobile robots (AMRs) has been 2D or 3D LiDAR: spinning mechanical or solid-state laser arrays generating dense, millimeter-accurate metric point clouds. LiDAR-based SLAM (Simultaneous Localization and Mapping) frameworks like Cartographer or LIO-SAM rely on clean planar structures to calculate relative vehicle pose with predictable determinism. […]

The fundamental bottleneck holding back generalized physical AI is not model architecture or computing power—it is the scarcity of high-quality physical training data. While Large Language Models (LLMs) scaled rapidly by ingesting trillions of public internet text tokens, embodied humanoid robots operate in the physical domain. In robotics, every physical training hour requires an actual […]