3. Custom Artificial Intelligence Architecture
In autonomous robotics, the artificial intelligence system running these robot dogs marks a quantum leap. Every unit has a different brain architecture that, via contact with its surroundings, develops its own personality and learning patterns. This artificial intelligence system needs months of individual training and calibration; each unit develops somewhat unique traits depending on its learning environment. Mass production is not feasible with the intricacy of this artificial intelligence architecture since no two units are exactly similar. The development team has to closely watch and modify the learning process of every unit to guarantee constant behaviour while preserving the advanced features that define these machines.
4. Advanced Materials Engineering
The physical building of these robot dogs calls for materials and manufacturing techniques that challenge present engineering capacity. The external shell makes use of a composite material including carbon nanotubes mixed with a unique metal alloy to produce a structure that is simultaneously quite lightweight and quite robust. This material needs to be produced under exact conditions; even little changes in pressure or temperature would produce useless parts. The manufacturing of these materials calls for specialised facilities and equipment that are now in somewhat limited supply globally, therefore generating a major manufacturing process bottleneck.
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