A hybrid framework uses MARL value guidance to steer diffusion-generated trajectories for coordinated multi-robot planning, cutting interference from 55.4% to 41.8% in a 4-robot maze simulation.
Generative Model PredictiveControlinManufacturingProcesses: AReview
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A graph attention-based virtual metrology framework predicts film thickness from sensor traces by representing step-parameter pairs as nodes and using attention to capture parameter-to-layer dependencies.
citing papers explorer
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Generative Multi-Robot Motion Planning via Diffusion Modeling with Multi-Agent Reinforcement Learning Guidance
A hybrid framework uses MARL value guidance to steer diffusion-generated trajectories for coordinated multi-robot planning, cutting interference from 55.4% to 41.8% in a 4-robot maze simulation.
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Graph Attention-Based Virtual Metrology for Film Deposition Processes in Semiconductor Manufacturing
A graph attention-based virtual metrology framework predicts film thickness from sensor traces by representing step-parameter pairs as nodes and using attention to capture parameter-to-layer dependencies.