How ChatGPT Will Impact Robotics

What is ChatGPT?

ChatGPT is a large language model chatbot developed by OpenAI. It is a powerful tool that can be used for a variety of tasks. You can use it to generate text, translate languages, write different types of content, write code, and answer your questions.

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Imagine a big computer with a lot of books, blog articles, form posts, academic articles, and written Internet content inside of it. ChatGPT is like a robot friend who can read all of that content and answer your questions. It can also generate new stories, poems, songs, and even code.

To use ChatGPT, you just need to talk to it like you would a friend. You can ask it questions about anything, and it will try its best to answer them. You can also give it instructions, and it will try to follow them.

For example, you could say to ChatGPT, “Tell me a story about a dragon.” And ChatGPT would tell you a story about a dragon. Or you could say, “Write me a poem about a cat.” And ChatGPT would write you a poem about a cat.

ChatGPT is still under development, but it is already amazingly good at generating human-like text. It can be a lot of fun to talk to ChatGPT, and it can also be a helpful tool for learning and creativity.

How Will ChatGPT Change the Way We Interact With and Design Robots?

Natural Language Programming

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ChatGPT can be used to program robots in a natural language format. This would make it possible for people to interact with robots without having to learn complex programming languages. This would make robotics more accessible to a wider range of people, including non-technical users.

Adaptive Robots

ChatGPT can help robots to adapt to their environment and learn from their experiences. This would make robots more intelligent and capable of handling complex tasks. For example, ChatGPT could be used to train a robot to perform a new task by simply giving it a natural language description of the task.

Collaborative Robots

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ChatGPT can be used to enable robots to collaborate with each other and with humans. This would make it possible to create teams of robots that can work together to solve complex problems. For example, ChatGPT could be used to detail the actions of a team of robots that are working together to build a house.

How Will ChatGPT Impact Business?

ChatGPT could lead to a wide range of new and innovative applications for robots in a variety of industries.

Here are some specific potential use cases:

Manufacturing

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ChatGPT could be used to program robots to perform complex manufacturing tasks, such as assembling products or inspecting parts for defects. This could help to improve the efficiency and quality of manufacturing processes.

Logistics

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ChatGPT could be used to program robots to pick and pack items in warehouses or deliver packages to customers. This could help to improve the efficiency and accuracy of logistics operations.

Healthcare

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ChatGPT could be used to program robots to assist with patient care tasks, such as administering medication or transporting patients. This could help to free up nurses and doctors to focus on more complex tasks.

ChatGPT could be used to develop medical robots that can interact with patients in a more humane and empathetic way.

Education

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ChatGPT could be used to create educational robots that can teach students about a variety of subjects. This could make learning more engaging and effective for students.

ChatGPT could be used to develop educational robots that can tailor their lessons to the individual needs of each student.

Customer Service

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ChatGPT could be used to power customer service robots that can understand and respond to complex customer inquiries in a natural and helpful way.

Examples of Robots Using ChatGPT Today

Here are a couple of specific examples of robots using ChatGPT today:

Levatas Spot Robot

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Levatas has developed a way to control Boston Dynamics Spot robots using ChatGPT voice commands. This allows operators to control the robots more naturally and hands-free, and to perform tasks that are difficult to program using traditional methods.

AMECA Humanoid Robot

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The AMECA humanoid robot has been used to demonstrate the conversational capabilities of ChatGPT. The robot can answer questions in a comprehensive and informative way, and can even engage in small talk.

ChatGPT is still under development, but it has the potential to revolutionize the field of robotics. By making robots more intelligent, adaptable, and collaborative, ChatGPT could lead to a wide range of new and innovative applications for robots in a variety of industries.

Keep building!

How to Install ROS 2 Iron on Ubuntu Linux

In this blog post, I will show you how to install ROS 2 Iron (the latest distribution of ROS 2) on Ubuntu.

You Will Need

In order to complete this tutorial, you will need:

Prerequisites

It is helpful if you’ve completed this tutorial on Linux fundamentals, but it is not required.

Set the Locale

The official steps for installing ROS are at this link at ROS.org, but I will walk you through the process below so that you can see what each step should look like. 

We will install ROS 2 Iron via Debian Packages.

The first thing we are going to do is to set the locale. You can understand what locale means at this link.  

Click the 9 dots on the bottom-left portion of the screen and search for the “Terminal” application.

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Open it.

Type this command inside a terminal window.

locale

The locale command is used to display or change the locale settings on a Linux system. A locale is a set of environmental variables that define the language, country, and character encoding settings. These settings are used by system libraries and locale-aware applications to determine how to display text, dates, times, and other information.

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Now type the following command:

sudo apt update && sudo apt install locales

“sudo apt update” updates the package index list, which is a database of all the software packages available for your Linux distribution.

“sudo apt install locales” installs the locales package, which provides support for different languages and regions.

Now type:

sudo locale-gen en_US en_US.UTF-8

The command “sudo locale-gen en_US en_US.UTF-8” generates locale definition files for the specified locales. Locale definition files are used by the system to generate locale data, which is used by programs to determine how to format text, dates, times, and other information.

In this case, the command is generating locale definition files for the English (United States) locale and the English (United States) UTF-8 locale. The UTF-8 locale is a special locale that supports the UTF-8 character encoding, which is the standard encoding for most languages.

Now type:

sudo update-locale LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8

The command above is updating the locale data for the English (United States) locale and the English (United States) UTF-8 locale. You typically need to run this command after you have changed the locale on your system. This will ensure that all of your programs are using the correct locale data.

Now type:

export LANG=en_US.UTF-8

Setting the LANG environment variable to en_US.UTF-8 will ensure that all of your programs are using the English (United States) UTF-8 locale. This is important for programs that need to display or process text in multiple languages.

Now we need to verify the settings by typing:

locale

Here is what you should see:

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Enable the Required Repositories

Let’s add the ROS 2 apt repository to our system. Open a terminal window, and type the following two commands:

sudo apt install software-properties-common
sudo add-apt-repository universe

The software-properties-common package provides a number of tools for managing software sources on Ubuntu and Debian systems. One of these tools is the add-apt-repository command, which is used to add new repositories to your system’s software sources.

The universe repository is a software repository that contains a wide variety of software packages, including many that are not included in the default Ubuntu and Debian repositories. Adding the universe repository to your system’s software sources will give you access to a wider selection of software to install.

Now we need to add the ROS 2 GPG key with apt.

The ROS 2 GPG key is a public key that is used to verify the authenticity of ROS 2 packages. It is used by the ROS 2 package manager (apt) to ensure that the packages you are installing are from a trusted source.

To add the ROS 2 GPG key, type these two commands:

sudo apt update && sudo apt install curl -y
sudo curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg

Add the repository to your sources list (copy and paste all of this below):

echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(. /etc/os-release && echo $UBUNTU_CODENAME) main" | sudo tee /etc/apt/sources.list.d/ros2.list > /dev/null

Type the following command to install ROS 2 development tools.

sudo apt update && sudo apt install ros-dev-tools

The command sudo apt install ros-dev-tools installs the ROS development tools package on Ubuntu systems. This package contains a number of tools that are useful for developing ROS packages, including:

  • ament_cmake: A CMake-based build system for ROS packages.
  • ament_index: A tool for generating and managing ROS package indexes.
  • ament_lint: A tool for linting ROS packages.
  • ament_test: A tool for testing ROS packages.
  • ament_uncrustify: A tool for formatting ROS code according to the ROS coding style guide.

Now update the apt repository:

sudo apt update

Upgrade the packages on your system to make sure you have the newest versions.

sudo apt upgrade

Install ROS 2

Install ROS 2 Iron by opening a terminal window, and typing:

sudo apt install ros-iron-desktop

Some of the tools and resources included in the ROS Iron desktop package include:

  • The ROS desktop environment, which includes a number of tools for developing and using ROS, such as RViz2, and RQt.
  • A number of documentation resources, such as the ROS wiki and tutorials.

Set Up the Environment Variables

Add Iron to your bash file.

echo "source /opt/ros/iron/setup.bash" >> ~/.bashrc

You can verify it is added by typing:

gedit ~/.bashrc
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If you don’t have gedit installed, you can type:

sudo apt-get install gedit

Close the terminal window, and open a new one.

Type the following command to see what version of ROS you are using:

printenv ROS_DISTRO

Here is what you should see:

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You can also type:

env | grep ROS
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Install some other useful packages:

sudo apt install -y python3-pip
pip3 install -U argcomplete
sudo apt-get install ros-$ROS_DISTRO-gazebo-ros-pkgs
sudo rosdep init
rosdep update

Test Your Installation

Open a terminal window, and type:

ros2 run demo_nodes_cpp talker
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Open another terminal window, and type:

ros2 run demo_nodes_py listener
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If your output looks like the images above, you have installed ROS 2 successfully. Yay!

That’s it! Keep building!

How to Install Ubuntu 22.04 Virtual Machine on a Windows PC

In this blog post, I will show you how to install Ubuntu 22.04, the latest version of the popular Linux distribution, as a virtual machine on a Windows PC using VMware Workstation Player.

Prerequisites

You have a Windows PC.

Download and Install Ubuntu on VirtualBox

Follow the instructions here to install Ubuntu on VirtualBox. I often use VirtualBox instead of VMWare due to rendering issues with Gazebo, the popular simulator for ROS 2 projects.

If you use VirtualBox, use about 12GB of memory, 50GB for the storage size, and 4 CPU Processors.

Also when you first start up the virtual machine, you are going to want to make sure your user has sudo privileges. Do this by typing the following commands:

whoami

The command above gets your username.

su -
sudo adduser [username] sudo

Replace [username] with your username.

reboot

Download and Install VMware Workstation Player

First, we need to download and install VMware Workstation Player.

Go to the VMware Workstation Player page and click “DOWNLOAD NOW”. You will find the link at the bottom of the page.

VMware Workstation Player is a free virtualization software that allows you to run multiple operating systems on a single computer. This can be useful for a variety of purposes, such as testing new software, running development environments, or learning about other operating systems.

Click on the downloaded file, and follow the prompts to install VMware Workstation Player.

Download the Ubuntu 22.04 ISO File

Now you need to go to this page, and download the Ubuntu 22.04 iso file. You will see a button that says “Download 22.04” or something similar.

You can download this iso file to wherever you would like on your computer.

An ISO file, also known as an ISO image, is a single file that contains an exact copy of the Ubuntu Linux 22.04 operating system.

Create a New Virtual Machine

Open VMware Workstation Player and click on “Create a New Virtual Machine.”

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Click the “Browse” button and locate the .iso image of Ubuntu 22.04 that you downloaded earlier.

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Click Next.

Enter the Full Name, Username, and Password, and then click Next.

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Name the virtual machine and select where you would like to store it on your computer.

Click Next.

Choose a maximum disk size. I will use 50GB.

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Select “Split virtual disk into multiple files”.

Click Next.

Stick with the default option of “Power on this virtual machine after creation.” Then click Finish.

Follow the on-screen instructions to install Ubuntu 22.04 on your virtual machine.

Once the installation is complete, exit your new Ubuntu 22.04 virtual machine.

Now go to the following folder: Go into the VMWare settings on the C drive (C:\Users\*****\Documents\Virtual Machines\(whatever you have named your virtual machine), and open the configurations file in Notepad.

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Change

usb.restrictions.defaultAllow = “FALSE”

To:

usb.restrictions.defaultAllow = “TRUE”

If that line isn’t there, add it at the bottom of the file.

Restart VMware Workstation Player.

On the left part of the panel, right-click on the name of the virtual machine, and click “Settings”.

On the Hardware tab, click Memory.

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Change the settings so that you have more memory. I set mine to 16384 MB.

I also set the Processors to 4.

Click OK.

On the Hardware tab, click USB Controller.

Make sure “Show all USB input devices” is checked.

You can also put a checkmark in “Share Bluetooth devices with the virtual machine”.

Click on your Virtual Machine and click “Play virtual machine”.

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That’s it! Keep building!