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Companies are finding collaborative robots (cobots) increasingly appealing due to the latest developments in the field. Unfortunately, a lot of human operators are untrained in operating these sophisticated devices. Observations conducted on the shop floor revealed that humans usually communicate through task-based interactions (TBIs) instead than following precise instructions that robots need to follow. In order to tackle this issue, we suggest a TBI architecture that allows human operators to assign complex tasks to machines through the use of triplets in task specification. This approach uses a task breakdown and a reasoning mechanism based on the Soar cognitive architecture.

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Leveraging Agent-Based Reasoning for Natural Task Delegation on the Shop Floor

  • 会议论文

  • 发表日期：

    2025年

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  • Moritz Schmidt,
  • Claudia Meitinger

摘要

Companies are finding collaborative robots (cobots) increasingly appealing due to the latest developments in the field. Unfortunately, a lot of human operators are untrained in operating these sophisticated devices. Observations conducted on the shop floor revealed that humans usually communicate through task-based interactions (TBIs) instead than following precise instructions that robots need to follow. In order to tackle this issue, we suggest a TBI architecture that allows human operators to assign complex tasks to machines through the use of triplets in task specification. This approach uses a task breakdown and a reasoning mechanism based on the Soar cognitive architecture.