Learning and planning for optimal synergistic human-robot coordination in manufacturing contexts
Samuele Sandrini,
Marco Faroni,
Nicola Pedrocchi
Abstract:Modern hybrid robot cells leverage heterogeneous agents to provide agile
production solutions. Effective agent coordination is crucial to avoid
inefficiencies and potential hazards for human operators working among
robots. This paper proposes a new human-aware task allocation and
scheduling model based on Mixed Integer Non-Linear Programming (MINLP)
to optimize efficiency and safety during task planning, scheduling, and
allocation. The approach introduces a synergy index that encodes the
coupling effects betwe… Show more
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