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The review aims to explore advancements in automatic behavior tree generation to facilitate human-robot collaborative tasks in industrial settings.

Automatic behavior tree generation for enhanced human–robot collaborative task planning in industry 5.0: A systematic review

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The review aims to explore advancements in automatic behavior tree generation to facilitate human-robot collaborative tasks in industrial settings.
Systematic review of literature on the generation of schedules and action plans for human-robot collaboration.
Examination of AI techniques for classical production management problems including JSSP and ALBP.
Comparison of Behavior Trees with traditional models like HTN and FSM.
Behavior Trees provide a more modular and reactive structure compared to HTN and FSM.
Transforming task planning improves human comfort and trust while balancing efficiency.
Identified best practices for enhancing safety and efficiency in human-robot interactions.

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Systematic review explores automatic task scheduling and action planning to enhance collaboration and efficiency.

Hémono et al. (2026) studied this question.

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