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A neural-network-based computational scheme for generating optimized robotic assembly sequences

  • Published:1995-04 Issue:2 Volume:8 Page:129-145
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Hong D.S.,Cho H.S.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference21 articles.

1. An expert system approach to the generation of robotic assembly sequences;Cho,1992

2. Assembly research;Nevins;Automatica,1980

3. Design for Assembly-the key to design for manufacture;Boothroyd;Int. J. Adv. Manuf. Tech.,1987

4. Design for Assembly;Andreasen,1983

5. An integrated computer aid for generating and evaluating assembly sequences for mechanical products;Boldin;IEEE Tran. Rob. Auto.,1991

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1. Intelligent Assembly Algorithm Based on Machine Learning;2023 International Conference on Networks, Communications and Intelligent Computing (NCIC);2023-11-17

2. A method for assembly sequence planning considering geometric priority relationship and aggregation;2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM);2022-11-18

3. Assembly sequence and path planning for monotone and nonmonotone assemblies with rigid and flexible parts;Robotics and Computer-Integrated Manufacturing;2021-12

4. Optimal disassembly sequence generation and disposal of parts using stability graph cut-set method for End of Life product;Sādhanā;2021-02-03

5. ASPPR: A New Assembly Sequence and Path Planner/Replanner for Monotone and Nonmonotone Assembly Planning;Computer-Aided Design;2020-06
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