Virtual programming with path guidance and tracking control

This paper presents a novel approach toward the real-time rendering of artificial guidance in virtual programming. It models the operational characteristics of robot programming with a biologically inspired neural network. Through neural activity propagation, this approach creates a new means of assisting the direct manipulation of virtual objects with suggested moving paths. In addition, it introduces a tracking controller to ensure smooth moving velocities. Finally, simulation results are provided to demonstrate the effectiveness and efficiency of the proposed approach