Development of an Adaptive Neuro-Fuzzy System to Navigate the AGV's

The paper suggests an ANFIS, or adaptable neuro-fuzzy inference system, to fix AGV navigation issues. Two ANFIS controllers regulate the AGV's left and right angular velocities to move it to the target location, while the other two controllers optimize the heading adjustment to avoid obstacles. That's the whole system. All three sensor readings-front distance (FD), correct distance (RD), and left distance (LD)are sent to the two velocity controllers for low-level motion control. Using the angle difference (AD) between the AGV's heading and the angle to the target, two heading controllers can determine the best course of action. The viability of the suggested ANFIS technique has been investigated via simulation tests run under two distinct situations. Using the MATLAB software package, the simulated results demonstrate ANFIS's ability to navigate and design paths effectively in a workspace containing static barriers.