VIPRO platform provides the following three intelligent control interfaces: ICNs, ICEx and INN.

ICEx (Extended robot control interface) integrates the extenics method for real-time robot control by applying the the Extenics contradictory problems solving theory. Extended control has as main objective the convergence of the mobile robot position to the system reference value. The module implements extenics theory in a double input fuzzy control structure, with the purpose of improving the control quality regarding the classical control indicators (override, settling time, used current etc.), as well as the robustness and ease of implementation.

ICNs (Neutrosophic robot control interface) integrates the robot neutrosophic control method (RNC) by using the neutrosophic robot information fusion logic in order to obtain precise results of the sensor data. These results are used in the robot’s decision system.

INN (Neural network interfaces) was designed for the dynamic hybrid force position control (DHFP) and implements inverse cinematics in the robot motion control by inference ad neural networks based systems. The application was developed for hybrid force-position control and implies the design and simulation of a robotic device with three degrees of freedom to be used on an autonomous robotic platform.