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Symbolic ZBDD Representations for Mechanical Assembly Sequences

Abstract : The representations of assembly knowledge and assembly sequences are crucial in assembly planning, where the size of parts involved is a significant and often prohibitive difficulty. Zero-suppressed binary decision diagram (ZBDD) is an efficient form to represent and manipulate the sets of combination, and appears to give improved results for large-scale combinatorial optimization problems. In this paper, liaison graphs, translation functions, assembly states and assembly tasks are represented as sets of combinations, and the symbolic ZBDD representation of assembly sequences is proposed. An example is given to show the feasibility of the ZBDD-based representation scheme.
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Fengying Li, Tianlong Gu, Guoyong Cai, Liang Chang. Symbolic ZBDD Representations for Mechanical Assembly Sequences. 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. pp.208-215, ⟨10.1007/978-3-642-32891-6_27⟩. ⟨hal-01524970⟩



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