A bilateral neural network architecture with a novel orthogonal mode decomposition achieves 98.6% and 97.3% prediction accuracy for human and robot haptic signals at 0.065 ms inference latency.
Signal prediction for loss mitigation in tactile internet: a leader-follower game-theoretic approach
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Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
A bilateral neural network architecture with a novel orthogonal mode decomposition achieves 98.6% and 97.3% prediction accuracy for human and robot haptic signals at 0.065 ms inference latency.