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Remote Human-to-Machine Distance Emulation through AI-Enhanced Servers for Tactile Internet Applications

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Abstract

We alleviate the master-slave distance limitation of human-to-machine applications by forecasting and pre-empting haptic feedback transmission. Results show 99% accuracy in detecting touch events and 96% accuracy in forecasting feedback from different slave materials.

© 2020 The Author(s)

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