Preliminaries

In Week 13, the focus was on finalizing the End-to-End Visual Control exercise by extending both its implementation and user-facing documentation. Building on the foundation from the previous week, I aimed to make the exercise ready for beta testing, ensuring that users can seamlessly access the exercise, train models, and understand the workflow.

Objectives

  • Start writing the key sections of the exercise documentation.
  • Prepare the end-to-end visual control exercise for beta testing
  • Create and publish a video summarizing my GSoC project

Execution

key sections of the exercise documentation

I started writing the documentation for the End-to-End Visual Control exercise. In this phase, I completed two critical sections:

  • Goal Section – Clearly outlining the purpose of the exercise.
  • Datasets Download to Build Deep Learning Model – Providing step-by-step guidance for downloading the dataset and using it to build models. This ensures users can reproduce the workflow easily. The Steps are:
    1. 💾 Dataset overview
    2. ☁️ Datasets Downloads
    3. 📂 Datasets Folder Structure
    4. Model Training and Evaluation Pipeline

The next week will focus on completing the remaining sections, including:

  • Setup Instructions
  • Exercise Instructions
  • Example Code
  • Video Tutorial

The link of the End-to-End Visual Control exercise:

https://jderobot.github.io/RoboticsAcademy/exercises/AutonomousCars/end_to_end_visual_control/

Prepare the end-to-end visual control exercise for beta testing

I have prepared the End-to-End Visual Control exercise for beta testing. This involved:

  • Review all the code and materials to ensure they are functioning correctly.
  • Finalizing the exercise content and instructions.
  • Update all the necessary files and resources to ensure everything is up to date.
  • Add new exercise cover image to make it visually appealing.

The exercise is now ready for beta testers to provide feedback on usability, clarity, and overall experience. This feedback will be invaluable for making final adjustments before the official release.

Create and publish a video summarizing my GSoC project

As part of the final steps of my GSoC journey, I prepared a comprehensive video presentation highlighting the goals, progress, and results of my project. The video demonstrates the development of the End-to-End Visual Control exercise, dataset preparation, model training, and integration within the RoboticsAcademy. The video was uploaded to the official JdeRobot YouTube channel, making it accessible to the broader community and serving as a reference for future contributors and learners.

References

[1] End-to-End Visual Control Exercise