A leader-follower game framing with two neural networks predicts next-step haptic signals, reporting 80-95% human-side and 70-90% robot-side accuracy, with a Taylor loss bound presented as a robustness guarantee.
a network, or a network of networks, for remotely accessing, perceiving, manipu- lating, or controlling real and virtual objects or processes in perceived real-time
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Signal Prediction for Loss Mitigation in Tactile Internet: A Leader-Follower Game-Theoretic Approach
A leader-follower game framing with two neural networks predicts next-step haptic signals, reporting 80-95% human-side and 70-90% robot-side accuracy, with a Taylor loss bound presented as a robustness guarantee.