Assembly Sequence Predictor



This component packages a reinforcement learning agent trained for optimizing the assembly sequence of trusses. The assembly order of members predicted by the agent is expected to minimize the temporary supports during the assembly process.

Truss models are converted into a data structure called a graph consisting of nodes and edges, and a novel machine learning method combining graph embedding and reinforcement learning is applied to develop an agent that can efficiently generate a stable assembly path for arbitrary 3D trusses.


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