Implementation of applications on a newly designed robot prototype: “Autonomous navigation and parallel parking”

Autonomous navigation and parallel parking of robots is usually a challenging maneuver for conductors in industrial environments and in heavy traffic congestion respectively. Soft computing techniques are suited for robots like car control system when modeled by highly non linear differential equations and navigation in unknown and unstructured environments. To demonstrate their applicability in real-world applications, two easy control units are designed for performing tasks. In this paper, a novel vision of auto-navigation system and parallel parking is proposed and confirmed on the newly designed robot prototype for each model. The experimental results show the accuracy of measurement and recognition, and the robustness of dynamic auto-navigation in indoor environments. All these applications are implemented on the new prototype of the robot designed in the (EMC) research unity at the National Engineering School of Sfax.