Space Robotics and Autonomous Systems by Gao Yang;

Author:Gao, Yang;
Language: eng
Format: epub
Publisher: Institution of Engineering & Technology
Published: 2021-07-30T00:00:00+00:00

Part III

Astronaut—robot interaction

Chapter 8

BCI for mental workload assessment and performance evaluation in space teleoperations

Fani Deligianni1, Daniel Freer2, Yao Guo2, and Guang-Zhong Yang3

1School of Computing Science, Glasgow University, Glasgow, UK

2Hamlyn Centre, Imperial College London, London, UK

3Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

Astronauts have to complete hundreds of hours of training with simulation systems that help them to improve their ability to operate robotic arms for docking operations. In docking tasks, performed for example on the Canadarm2, the operator does not have direct view of the International Space Station (ISS) but relies instead on visual feedback from multiple 2D camera views. Failure to accomplish the tasks on time costs millions of pounds and can potentially endanger the life of the crew members. Even in simulated tasks of the Soyuz-ΤΜΑ(Transportation Modified Anthropometric) approach and docking, tension and anxiety build up quickly as the precision required is high and virtual fuels are limited. In this chapter, we investigate how simulation systems can be used as a platform to enhance and measure an operator’s performance, as well as to design and evaluate semi-autonomous modes of operation that facilitates effective human–robot collaboration. Furthermore, we review how brain–computer interfaces (BCIs) can monitor workload, attention and fatigue. These systems can be evolved to provide an intuitive human–robot interaction experience that provides guidance and feedback as they are needed.

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