SLAMcore Offers ‘Out-of-the-Box’ Dense 2.5D Mapping for Fast, Accurate Robot Navigation
SLAMcore, a leader in Spatial Intelligence for autonomous robot location and mapping, has added new dense 2.5D mapping capabilities to its latest software release, which is available now. Robots require maps of their surroundings and the objects within it to navigate effectively - these maps can include point clouds, 2D flat maps, 2.5D dense maps (with heights), 3D maps and semantic maps which identify objects (people/tables/chairs/windows etc). One of the main challenges of robot mapping is that it requires significant compute power, processing time and memory to create maps (especially 2.5D and 3D). Most Robotic systems today use only flat 2D distance maps to run efficiently in real-time.