Adapting Cobot Behavior to Human Task Ordering Variability for Assembly Tasks

Authors

  • Belal HMEDAN University Grenoble Alpes
  • Dorilys Kilgus University Grenoble Alpes
  • Humbert Fiorino University Grenoble Alpes
  • Aurelie Landry University Grenoble Alpes
  • Damien Pellier University Grenoble Alpes

DOI:

https://doi.org/10.32473/flairs.v35i.130645

Abstract

In this paper, we address flexible assembly plans generation to accommodate human task variability.
Unlike existing approaches, the proposed approach is based on a free-style human-robot interaction (HRI) that does not impose any task order on the participants and furthermore can accommodate their errors and help them to correct the errors without stopping the whole assembly process.
Our approach is implemented in a real robotic architecture that combines sensory-motor modules with Hierarchical Task Networks (HTN) to endow the cobot with the necessary adaptability to correspond to human actions dynamically.
We show experimentally with 56 participants on a simulated industrial assembly task that the cobot increases the task performance (reduction in the number of errors and gestures) without increasing the participants' cognitive load.

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Published

04-05-2022

How to Cite

HMEDAN, B., Kilgus, . D., Fiorino, H., Landry, A., & Pellier, D. (2022). Adapting Cobot Behavior to Human Task Ordering Variability for Assembly Tasks. The International FLAIRS Conference Proceedings, 35. https://doi.org/10.32473/flairs.v35i.130645

Issue

Section

Special Track: Autonomous Robots and Agents