Jarvis: The DIY robot

It has been a while since i started to build an upgraded version of Dolly, my first DIY ROS based robot. This upgraded version is named Jarvis.

Changes from the previous version:

  • Hardware:
    • The robot is now use tracks instead of wheels
    • Jarvis footprint is bigger and has more room to mount addition components
    • Jarvis uses NVIDIA Jetson Nano as high-level control board instead of Raspberry 3B (used in Dolly). The Jetson board has more GPU and processing power, and is suitable for machine learning stuffs (with the camera).
    • Jarvis uses step-down voltage regulator instead of step-up regulator (Dolly), the regulator provide more juice (up to 3A for each output)
    • 128 GB USB based SSD for operating system and storage instead of SD card
  • Software:
    • Linux Ubuntu 20.04
    • ROS 2 is used instead of ROS (on Dolly)

As a work in progress, I'm now writing a booklet that detail the building process of the robot both on hardware and soft software (Arduino, ROS 2), as well as some application use cases. The initial plan is:

  1. Introduction
  2. Robot modeling and simulating with ROS 2 and Gazebo
  3. Building the robot hardware step by step
  4. Basic robot controlling software with ROS 2
  5. Use case projects: such as localisation and mapping, autonomous navigation, obstacle avoidance with machine learning, etc.

All further updates on the booklet can be found here: https://doc.iohub.dev/jarvis/.

Stay tunned!!!

Related posts

Comments

The comment editor supports Markdown syntax. Your email is necessary to notify you of further updates on the discussion. It will be hidden from the public.
Powered by antd server, (c) 2017 - 2024 Dany LE.This site does not use cookie, but some third-party contents (e.g. Youtube, Twitter) may do.