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Multimodal Human Aerobotic Interaction
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Author(s): Ayodeji Opeyemi Abioye (University of Southampton, UK), Stephen D. Prior (University of Southampton, UK), Glyn T. Thomas (University of Southampton, UK), Peter Saddington (Tekever Ltd., UK)and Sarvapali D. Ramchurn (University of Southampton, UK)
Copyright: 2017
Pages: 24
Source title:
Smart Technology Applications in Business Environments
Source Author(s)/Editor(s): Tomayess Issa (Curtin University, Australia), Piet Kommers (University of Twente, The Netherlands), Theodora Issa (Curtin University, Australia), Pedro Isaías (Portuguese Open University, Portugal)and Touma B. Issa (Murdoch University, Australia)
DOI: 10.4018/978-1-5225-2492-2.ch003
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Abstract
This chapter discusses HCI interfaces used in controlling aerial robotic systems (otherwise known as aerobots). The autonomy control level of aerobot is also discussed. However, due to the limitations of existing models, a novel classification model of autonomy, specifically designed for multirotor aerial robots, called the navigation control autonomy (nCA) model is also developed. Unlike the existing models such as the AFRL and ONR, this model is presented in tiers and has a two-dimensional pyramidal structure. This model is able to identify the control void existing beyond tier-one autonomy components modes and to map the upper and lower limits of control interfaces. Two solutions are suggested for dealing with the existing control void and the limitations of the RC joystick controller –the multimodal HHI-like interface and the unimodal BCI interface. In addition to these, some human factors based performance measurement is recommended, and the plans for further works presented.
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