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Transparent role assignment and task allocation in human robot collaboration | IEEE Conference Publication | IEEE Xplore

Transparent role assignment and task allocation in human robot collaboration


Abstract:

Collaborative robots represent a clear added value to manufacturing, as they promise to increase productivity and improve working conditions of such environments. Althoug...Show More

Abstract:

Collaborative robots represent a clear added value to manufacturing, as they promise to increase productivity and improve working conditions of such environments. Although modern robotic systems have become safe and reliable enough to operate close to human workers on a day-to-day basis, the workload is still skewed in favor of a limited contribution from the robot's side, and a significant cognitive load is allotted to the human. We believe the transition from robots as recipients of human instruction to robots as capable collaborators hinges around the implementation of transparent systems, where mental models about the task are shared between peers, and the human partner is freed from the responsibility of taking care of both actors. In this work, we implement a transparent task planner able to be deployed in realistic, near-future applications. The proposed framework is capable of basic reasoning capabilities for what concerns role assignment and task allocation, and it interfaces with the human partner at the level of abstraction he is most comfortable with. The system is readily available to non-expert users, and programmable with high-level commands in an intuitive interface. Our results demonstrate an overall improvement in terms of completion time, as well as a reduced cognitive load for the human partner.
Date of Conference: 29 May 2017 - 03 June 2017
Date Added to IEEE Xplore: 24 July 2017
ISBN Information:
Conference Location: Singapore

References

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