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

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. A. ElSayed (B) Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA e-mail: [email protected] E. Kongar Departments of Mechanical Engineering and Technology Management, University of Bridgeport, Bridgeport, CT 06604, USA e-mail: [email protected] S. M. Gupta Department of Mechanical Engineering and Industrial Engineering, Northeastern University, Boston, MA 02115, USA e-mail: [email protected] T. Sobh School of Engineering, University of Bridgeport, Bridgeport, CT 06604, USA e-mail: [email protected]