On concrete examples from robotics and self-organized quantum controllers embedded in on-board control systems, the effectiveness and advantage of applying intelligent control systems using soft and quantum computing are shown. The results of the technology application are summarized on the examples of a dynamically unstable autonomous robot and a quantum regulator controlling the nitrogen pressure in the cryogenic cooling system of the superconducting magnet elements of the NICA plant. The possibility of transferring the existing technology to other control objects is shown. Quantum soft computing and quantum fuzzy inference are implemented on a classical processor and modeled on the “Govorun” supercomputer.