An Online Genetic Algorithm for Automated Disassembly Sequence Generation

Author:

ElSayed A.1,Kongar E.1,Gupta S. M.2,Sobh T.1

Affiliation:

1. University of Bridgeport, Bridgeport, CT

2. Northeastern University, Boston, MA

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.

Publisher

ASMEDC

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A state-of-the-art literature survey on artificial intelligence techniques for disassembly sequence planning;CIRP Journal of Manufacturing Science and Technology;2023-04

2. Product disassembly planning and task allocation based on human and robot collaboration;International Journal on Interactive Design and Manufacturing (IJIDeM);2022-05-17

3. A generic asset model for implementing product digital twins in smart remanufacturing;The International Journal of Advanced Manufacturing Technology;2022-05-06

4. Product disassembly sequence planning: state-of-the-art, challenges, opportunities and future directions;International Journal of Production Research;2021-01-12

5. Scheduling of Robotic Disassembly in Remanufacturing Using Bees Algorithms;Evolutionary Computation in Scheduling;2020-04-17

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