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Collision representation using vibrotactile cues to bimanual impact localization for mobile robot operations

Daniel Gongora, Hikaru Nagano, Yosuke Sasaki, Masashi Konyo, Satoshı Tadokoro

Year
2017
Citations
4

Abstract

Unnoticed collisions compromise the success of remote exploratory tasks with mobile robots. We propose a vibrotactile stimulation method to represent frontal collisions that is based on the way people perceive impacts on a bar held with both hands. We observed that to estimate the impact point in a bimanual impact localization task people relied on amplitude and duration differences of the impact vibrations delivered to their hands. Then, to apply these results, we obtained a psychophysical function that relates impact points and vibration parameters. Finally, we used a differential drive mobile robot equipped with a high speed tactile sensor on the front bumper to evaluate our method in a simplified teleoperation task. We observed that participants required less time to complete the task when vibrotactile feedback was available.

Keywords

TeleoperationComputer scienceTask (project management)RobotMobile robotSimulationCollisionArtificial intelligenceComputer visionHuman–computer interaction

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