Cleaning robots are used to cater to the demands in
both domestic and industrial premises.
Much of the research work is being conducted to improve
functionalities and efficiency of cleaning robots.
Users of these robots prefer human-friendly
interactive features in these functional robots.
Therefore, the focus of the research work in the
area of cleaning robots has been drifted from improving core cleaning related
functionalities to implementing human-friendly interactive features in recent
years.
The existing floor cleaning robots do not possess
the ability to express their state to users.
Lack of expressiveness is one of
the major factors that degrade human-robot interaction.
Therefore, this paper proposes a method to express a
floor cleaning robot's attention requirement to its users.
The attention requirement of the robot in a situation is determined by a fuzzy inference system that analyzes the bumping level
and experience of attention level requirements.
The requirement of attention is expressed to users
by varying the color of lights attached to the robot.
Based on the color variation, users can identify the
robot's situation and users could take corrective measures.
Experimental results confirm that the robot can
express its attention requirement to a user based on the state.
A user study has also been conducted to evaluate the
performance improvement of the proposed method.
According to the outcomes, the proposed method can remarkably improve the human-friendliness of a floor cleaning
robot.
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