The task of automating the welding operation requires sensor integration, coordination with the welding power source and motion control. The use of robot welding operation especially industries involving assembly lines, dangerous work environment and difficult to reach position leads to automation of welding processes. which basically leads to automate the system (Deepak, Parhi, & Raju, 2014 Deepak & Parhi, 2013 Deepak & Parhi, 2016). Nowadays robots have been utilized for wide range of application in manufacturing industries like transportation, pick and place or manipulation etc. The weld gap and the midpoint between edges points are measured simultaneously by vision assistant toolbox in LabVIEW software background. Then best edge fitting method has been applied to fit the edges along the weld seam edge and the pixel values on the edges were measured. Then different edge detection techniques have been applied to find the most efficient edge detection method for obtaining the characteristics of weld seam edge. Then in image processing at first one pattern matching algorithm for tracking of weld seam path is performed. For this first an image acquisition algorithm technique has been proposed for capturing of image of weld seam in gray scale mode. A seam tracking algorithm has been proposed for a butt type of weld joint with varying weld gap for effective measurement of weld path positions and weld gap simultaneously. In this paper, a vision sensor has been utilized for automation of robotic welding path planning. AbstractFor robot path planning the weld seam positions need to be known in advance as the industrial robot generally work in teach and playback mode.