While backflipping humanoid robots are exciting to watch, there is a far more pragmatic reality, one where intelligent machines are integrated into the workforce to function alongside humans, performing repetitive, risk-prone tasks, and gathering business critical data while doing so.

Developing SLAM systems is resource intensive, technically challenging, and expensive. In addition, the lack of common and shareable approaches for understanding the operational environment shared by robotics systems and humans has resulted in a multitude of system specific, spatial intelligence silos. There has to be a better way.