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What is Automated Assembly Planning with AI about?

This paper presents an automated assembly planning process utilizing reinforcement learning (RL) to enhance Design for Assembly (DfA) by optimizing assembly sequences derived from 3D-CAD models. The proposed method includes an assembly by disassembly approach to identify feasible subassemblies, thereby streamlining the creation of manufacturing bills of materials (MBOM). The validation of the approach demonstrates its effectiveness in generating assembly sequences and identifying subassemblies without human

Author

Bandit Suksawat

Language

EN