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Related Experiment Video

Updated: Sep 16, 2025

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IPT-DCD: Interpolation Predictor for Teleoperation Under Dynamic Communication Delay Using Deep Learning Approach.

Hwanhee Kang1, Eugene Kim2, Myeonghwan Hwang2

  • 1Robot Engineering, Korea National University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an Interpolation Predictor for Teleoperation under Dynamic Communication Delay (IPT-DCD) to enhance control stability. IPT-DCD effectively reconstructs and predicts commands, improving robustness in unstable teleoperation environments.

Keywords:
LSTMartificial intelligencedelay compensationmodel-free predictionremote operations and controlteleoperation

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Area of Science:

  • Robotics
  • Control Systems
  • Communication Engineering

Background:

  • Teleoperation systems face challenges with control stability and safety.
  • Dynamic communication delays significantly degrade system performance.

Purpose of the Study:

  • To propose a novel predictor, IPT-DCD, for teleoperation systems.
  • To address and mitigate the effects of dynamic communication delays.

Main Methods:

  • Developed an Interpolation Predictor for Teleoperation under Dynamic Communication Delay (IPT-DCD).
  • Utilized an encoder-decoder LSTM architecture for command prediction.
  • Applied Backward Shifting and Interpolation (BSI) for signal preprocessing.

Main Results:

  • IPT-DCD reconstructs asynchronously received control commands via interpolation.
  • The model generates real-time steering command outputs using a many-to-many time series structure.
  • IPT-DCD demonstrated superior robustness to large communication delay outliers compared to baseline models.

Conclusions:

  • IPT-DCD effectively enhances control stability and safety in teleoperation.
  • The proposed method is highly effective in dynamic and unstable communication environments.
  • IPT-DCD offers a significant improvement for real-world teleoperation applications.