The maturation of 3D vision has pushed robotics across a qualitative threshold: from blind, repeatable automation towards perception-rich systems capable of operating in unstructured, high-variability environments. Yet the bottleneck in real-world impact increasingly lies not in sensors or algorithms, but in how perception is integrated into control architectures, organisational structures and broader ecosystems. This paper argues that 3D vision integration strategy is emerging as the primary axis along which both technological and organisational evolution in robotics will be selected. Drawing on diffusion of innovation, socio-technical systems theory and modularity, it develops two complementary constructs: Perception Integration Regimes, which classify alternative architectural choices, and the Socio-Technical Integration Maturity (STIM) model, which describes how technical architectures and organisational capabilities co-evolve. The analysis shows that many organisations are trappe…
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