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Autonomous navigation with exclusively RGB perception poses a significant technical challenge due to the lack of direct depth information, causing physical uncertainty in robots and intelligent agents. In this context, techniques such as multi-layer value maps (MVM) make it possible to merge semantic reasoning with geometric constraints, generating safe trajectories without the need for active sensors. This type of architecture, similar to the one proposed in MVP-Nav, demonstrates how 3D foundation models can project 2D instances into real space, creating global representations that guide physical planning.
At Q2BSTUDIO we understand that implementing solutions of this type requires both custom applications and a solid infrastructure. That is why we offer AI services for businesses that empower AI agents capable of operating in changing environments. Our capabilities in AWS and Azure cloud services provide the computational support to process visual data in real time, while business intelligence services tools, such as Power BI, allow monitoring key performance indicators. In addition, we integrate cybersecurity practices to protect the entire data chain and offer custom software that adapts to complex industrial and logistics processes, ensuring efficient and safe navigation.
