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An improved soft actor-critic for multi-objective human-robot collaborative scheduling in aircraft moving assembly lines
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DOI：10.1016/j.jmsy.2026.04.025.png)
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Abstract
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• Human-robot collaborative scheduling problem for aircraft moving assembly lines. • The objective function is to minimize assembly time, human load, and assembly cost. • Proposed ISAC with innovative state, action, and reward designs. • ISAC is compared with three mainstream reinforcement learning algorithms on 3 case scales. • ISAC surpasses all benchmarks, with IGD⁺ showing over 90% maximum improvement.
Keywords:
human-robot collaboration
aircraft moving assembly lines
multi-objective optimization
soft actor-critic
scheduling optimization
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