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Recent-Trends-in-Teleoperation-Time-DelayMitigation

In ths repository we focused on time series prediction methods to solve time delay in teleoperation

In this repository we created two folder one for Neural Network methods: NN_methods and Statistical methods: Stat_methods.

Neural Network methods:

In this folder we developed stack lstm:StackLSTM.ipynb and Seq2Seq model: seq2seq-final.ipynb.

Resources

  • Seq2Seq Model - Helpful Github notebook for creating Seq2Seq model for time series prediction with Bitcoin data values.
  • Seq2Seq model with keras - Github's notebook for time series prediction with keras library.

How to Contribute

Find any typos? Have another resource you think should be included? Contributions are welcome!

First, fork this repository. Next, clone this repository to your desktop to make changes.

$ git clone {https://github.com/parinazfa/Recent-Trends-in-Teleoperation-Time-DelayMitigation.git}
$ cd Recent-Trends-in-Teleoperation-Time-DelayMitigation

Once you've pushed changes to your local repository, you can issue a pull request by clicking on the green pull request icon. Instead of cloning the repository to your desktop, you can also go to README.md in your fork on GitHub.com, hit the Edit button (the button with the pencil) to edit the file in your browser, then hit the Propose file change button, and finally make a pull request.

License

The contents of this repository are covered under the MIT License.

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Focus on time series prediction methods to solve time delay in teleoperation

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