Optimal Assembly Sequence Planning with Single-Stage Multiple-Component Feasibility: Industry 4.0 Perspective-Reference-Cited by-同舟云学术

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Optimal Assembly Sequence Planning with Single-Stage Multiple-Component Feasibility: Industry 4.0 Perspective

Published:2023 Issue: Volume: Page:281-290
ISSN:2195-4356
Container-title:Advances in Modelling and Optimization of Manufacturing and Industrial Systems
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Author:

Champatiray Chiranjibi,Raju Bahubalendruni M. V. A.,Anil Kumar I.,Mahapatra R. N.,Mishra Debasisha,Biswal B. B.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6107-6_20

Reference31 articles.

1. Abbas A, Maire F, Shirazi S, Dayoub F, Eich M (2018) A dynamic planner for object assembly tasks based on learning the spatial relationships of its parts from a single demonstration. In: Australasian joint conference on artificial intelligence, pp 759–765

2. Bahubalendruni MR, Biswal BB (2016) A review on assembly sequence generation and its automation. Proc Inst Mech Eng C J Mech Eng Sci 230(5):824–838

3. Bahubalendruni MR, Biswal BB (2017) A novel concatenation method for generating optimal robotic assembly sequences. Proc Inst Mech Eng C J Mech Eng Sci 231(10):1966–1977

4. Bahubalendruni MVAR, Biswal BB, Deepak BBVL (2017) Computer aided assembly attributes retrieval methods for automated assembly sequence generation. World Acad Sci Eng Technol Int J Mech Aerosp Ind Mechatron Manuf Eng 11(4):759–767

5. Bahubalendruni MR (2018) An efficient method for exploded view generation through assembly coherence data and precedence relations. World J Eng 15(2):248–253

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