While deep learning methods have proven useful for autonomous navigation, the approach requires vast amounts of data and computing power, and produces solutions that are inefficient, fragile and unaffordable for many classes of applications. Opteran’s “Natural Intelligence” approach, based on the function of insect brains, provides an alternative for generating complex, autonomous behaviors for machines.
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.
Swiss based start-up provides a unique 360°, SLAM based localization and navigation solution for builders of autonomous robots and other devices.