ETFA2020_AliAlYacoub.pdf (4.29 MB)
Effective human-robot collaboration through wearable sensors
conference contribution
posted on 2020-09-14, 09:23 authored by Ali Al-Yacoub, Achim Buerkle, Myles Flanagan, Pedro FerreiraPedro Ferreira, Ella-Mae HubbardElla-Mae Hubbard, Niels LohseNiels LohseWith 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 - 658Source
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher 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
2020-07-24Publication date
2020-10-05Copyright date
2020ISBN
9781728189567eISSN
1946-0759Publisher version
Language
- en
Location
Vienna, AustriaEvent dates
8th September 2020 - 11th September 2020Depositor
Dr Ali Al-Yacoub. Deposit date: 10 September 2020Usage metrics
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