Machine vision based path planning for a robotic golf club head welding system

  • Authors:

  • Ming J. Tsai;Hong-Wen Lee;Nai-Jun Ann

  • Affiliations:

  • Department of Mechanical Engineering, National Cheng-Kung University, Tainan 701, Taiwan;Department of Mechanical Engineering, National Cheng-Kung University, Tainan 701, Taiwan;Research Development Division, Metal Industrial Research and Development Center, 1001 Kao-Nan Rd, Kaohsiung 800, Taiwan

  • Venue:
  • Robotics and Computer-Integrated Manufacturing
  • Year:
  • 2011

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Abstract

A path planning method based on machine vision techniques is constructed for a golf-club head robotic welding system. This system uses 3D machine vision techniques to recognize the weldseam and generates a welding path for the robot. The location of the weldseam is discovered by applying a Sobel mask to the captured data. A Laplace mask is also useful to filter out the noise points due to the scatter light refraction of tack-welding spots. The weldseam is then replenished and smoothed out by a B-spline curve fitting. The task frame of the weldseam is computed by finding the tangent, normal, and bi-normal of the curve. The robotic welding path is obtained by further rotations and translation along the axes of the task frame according to the requirement of the welding attitude. The developed machine vision technique and the mathematic framework pertaining to the generation of a welding task frame can readily be used for various three-dimensional welding tasks.