8000 GitHub - seokkilee/LSTM-RCM-Prediction-Model: Official code for the Shattering Latency Boundaries An LSTM-RCM Driven Smith Predictor for Path Tracking Control Under Time Delay
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Official code for the Shattering Latency Boundaries An LSTM-RCM Driven Smith Predictor for Path Tracking Control Under Time Delay

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LSTM-RCM Prediction Model

Official implementation of the paper:
"Shattering Latency Boundaries: An LSTM-RCM Driven Smith Predictor for Path Tracking Control Under Time Delay"

Official data: ** Seok-Ki Lee, "Mobile Robot Transition Dynamics Dataset for LSTM-RCM Driven Delay-Compensated Modeling", IEEE Dataport, May 29, 2025, doi:10.21227/bnn3-7p84 ** ** https://dx.doi.org/10.21227/bnn3-7p84 **

📌 Description

This repository provides a PyTorch-based implementation of a predictive control framework integrating LSTM dynamics modeling and an SVGP-based residual correction structure.

🚀 Getting Started

1. Install dependencies:

pip install -r requirements.txt

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Official code for the Shattering Latency Boundaries An LSTM-RCM Driven Smith Predictor for Path Tracking Control Under Time Delay

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