This repository contains the material used in the course Robotics and ROS - Learn by Doing! Manipulators that is currently available on the following platforms:
In this course, I'll guide you through the creation of a real robotic arm that you can control with your voice using the Amazon Alexa voice assistant. Some of the concepts that are covered in this course are
- Gazebo Simulation
- Robot Kinematics
- ROS Basics
- MoveIt!
- Using Arduino with ROS
- Interface Alexa with ROS
Furthermore, all the laboratory classes in which we are going to develop the actual Software of our mobile robot are available both in Pyhton and in C++ to let you the freedom of choosing the programming language you like the most or become proficient in both!
If you find this course interesting and you are passionate about robotics in general (not limited to manipulators), then you definitely have to take a look at my other courses!
Ready to boost your career as Robotics Software Developer and be knowledgeable about the latest technologies in robotics? Do you want to put yourself at the forefront of the demand for ROS 2 developers? Many companies and universities are already switching to the new, amazing version of ROS. Build your own robot, fully powered by ROS 2!
Excited? Check it out:
If you are passionate about Self-Driving and you want to make a real robot Autonomously Navigate, then this course is for you! Apart from explaining in detail all the functionalities and the logic of ROS 2, the latest version of the Robot Operating System, it covers some key concepts of Autonomous Navigation such as
- Sensor Fusion
- Kalman Filter
- Probability Theory
- Robot Kinematics
- Odometry
- Robot Localization
- Control
Looks funny? Check it out on the following platforms:
Do you want to master ROS as well? Despite many companies already started switching to ROS 2, most of the software is currently developed in ROS 1 and it will be at the core of their software for many more years!
Knowing both ROS 1 and ROS 2 will position you at the forefront of this demand, making you an attractive candidate for a wide range of roles, for this reason you can create and code your robotic arm both using ROS 1 and ROS 2:
You can decide whether to build the real robot or just have fun with the simulated one. The course can be followed either way, most of the lessons and most of the code will work the same in the simulation as in the real robot
You don't need any prior knowledge of ROS or of Robotics, I'll explain all the concepts as they came out and as they are needed to implement new functionalities to our robot. A basic knowledge of programming, either using C++ or Python is required as this is not a Programming course and so I'll not dwell too much on basic Programming concepts.
To prepare your PC you need:
- Install Ubuntu 20.04 on PC or in Virtual Machine Download the ISO Ubuntu 20.04 for your PC
- Install ROS Noetic on your Ubuntu 20.04
- Install ROS missing libraries. Some libraries that are used in this project are not in the standard ROS package. Install them with:
sudo apt-get update && sudo apt-get install -y \
ros-noetic-rosserial \
ros-noetic-gazebo-ros-control \
ros-noetic-joint-state-publisher-gui \
ros-noetic-rosserial-arduino \
ros-noetic-moveit \
ros-noetic-actionlib-tools
- Install VS Code and Arduino IDE on your PC in order to build and load the Arduino code on the device
- Clone the repo
git clone https://github.com/AntoBrandi/Robotics-and-ROS-Learn-by-Doing-Manipulators.git
- Build the ROS workspace
cd ~/Robotics-and-ROS-Learn-by-Doing-Manipulators/Section9-Build_the_Real_Robot/arduinobot_ws
catkin_make
- Source the project
source devel/setup.bash
To launch the ROS Simulated robot
roslaunch arduinobot_bringup sim_complete.launch
To launch the Real robot, connect the Arduino to the PC and upload the code in the folder on the Arduino controller. Then launch the real robot
roslaunch arduinobot_bringup complete.launch
To launch the interface with Alexa download ngrok and create an account then setup ngrok with your key
./ngrok authtoken <YOUR-KEY>
Then start the ngrok web server with
./ngrok http 5000
Copy the link that provides ngrok and paste it in the section Endpoint of your Alexa Developer account
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the Apache 2.0 License. See LICENSE
for more information.
Antonio Brandi - LinkedIn - antonio.brandi@outlook.it
My Projects: https://github.com/AntoBrandi