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Effective human-robot collaboration through wearable sensors

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With the developments of collaborative robots in manufacturing, physical interactions between humans and robots represent a vital role in performing tasks collaboratively. Most conducted studies focused on robot motion planning and control during the execution of a task. However, for effective task distribution and allocation, human physical and psychological status are essential. In this research, a hardware setup and support software for a set of wearable sensors and a data acquisition framework, are developed. This can be used to develop more efficient Human-Robot collaboration strategies. The developed framework is intended to recognise the human mental state and physical activities. Subsequently, a robot could effectively and naturally perform the given task with the human. Besides, the collected data through the developed hardware enables online classification of human intentions and activities; therefore, robots can actively adapt to ensure the safety of the human while delivering the required task.

Funding

EPSRC as part of the Digital Toolkit for optimisation of operators and technology in manufacturing partnerships project (DigiTOP; EP/R032718/1).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Pages

651 - 658

Source

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

24/07/2020

Publication date

2020-10-05

Copyright date

2020

ISBN

9781728189567

eISSN

1946-0759

Language

en

Location

Vienna, Austria

Event dates

8th September 2020 - 11th September 2020

Depositor

Dr Ali Al-Yacoub. Deposit date: 10 September 2020