A Robotic-Driven Disassembly Sequence Generator for End-Of-Life Electronic Products

  • Authors:
  • Ahmed Elsayed;Elif Kongar;Surendra M. Gupta;Tarek Sobh

  • Affiliations:
  • Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, USA 06604;Departments of Mechanical Engineering and Technology Management, University of Bridgeport, Bridgeport, USA 06604;Department of Mechanical Engineering and Industrial Engineering, Northeastern University, Boston, USA 02115;School of Engineering, University of Bridgeport, Bridgeport, USA 06604

  • Venue:
  • Journal of Intelligent and Robotic Systems
  • Year:
  • 2012

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Abstract

In this study, we propose an intelligent automated disassembly cell for online (real time) selective disassembly. The cell is composed of an industrial robotic manipulator, a camera, range sensing and component segmentation visual algorithms. The cell prototype allows for robotic sensory-driven disassembly under uncertainty. An online genetic algorithm model for selective disassembly is also proposed for optimal and near/optimal disassembly sequencing.