Effective human-robot collaboration through wearable sensors
conference contributionposted on 14.09.2020, 09:23 by Ali Al-YacoubAli Al-Yacoub, Achim Buerkle, Myles FlanaganMyles Flanagan, Pedro FerreiraPedro Ferreira, Ella-Mae HubbardElla-Mae Hubbard, Niels LohseNiels Lohse
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.
EPSRC as part of the Digital Toolkit for optimisation of operators and technology in manufacturing partnerships project (DigiTOP; EP/R032718/1).
- Mechanical, Electrical and Manufacturing Engineering