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The NavAbility IEEE ICRA2022 Tutorials

  • Dehann Fourie
  • Jul 4, 2022
  • 1 min read

Updated: Jun 24


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We’re excited to announce the NavAbility tutorials that demonstrate how real-world robot navigation challenges (like false loop-closures and distributing computations) are addressed using NavAbility™ Accelerator and open core software.


The tutorials are available as online Binder notebooks, short videos, and a GitHub repository that you can pull down if you want to run the examples locally. See the NavAbilitySDKs for available languages.



The tutorials are designed to be:

  • Zero-footprint examples that should take about 15 minutes to take you from problem definition to results and analysis

  • Easily run in a browser in a JupyterHub Notebook but feel free to pull the code to your local machine

  • Quickly digested with our accompanying YouTube videos

  • Open to everyone without logins – all tutorials will always be available and can be run at any time using our guest account

Note: The cloud solving is done with a community-level version of our solver, so they may take a few moments to run. Reach out to us either by email or on Slack if you’d prefer to use a high-performance solver.

We’ll continue to grow the library of tutorials in the coming months. If you have any questions or suggestions please reach out to us at info@wherewhen.ai.

 
 
  • GitHub
  • Slack
  • GitHub

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