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We had a lot of big ideas when starting out with our project. When we decided on a robotic drawing system, we had the idea to mount it on any glass surface and wanted to further incorporate elements such as automatic cleaning or even an interactive tic-tac-toe game.
However, after actually settling on a design and working on it, we had a lot to learn along the way and ran into many roadblocks. We decided to focus on a whiteboard-supported design (which could be more easily mounted and more portable), achieving accurate rendering, and creating a clean design rather than rushing to incorporate many different features.
We are proud to present our final product, a robotic system than can easily be mounted on any stand-alone whiteboard, precisely draw any image including user and AI-created, and features an original and clean design.
The drawing robot landscape is bustling with innovative designs! Some, like Fumik, place the stepper motor directly on the pen carriage, while others take a different approach. Enter Scribit, a commercially available bot with a $499 price tag. But the DIY spirit lives on! Many hobbyists are crafting their own unique drawing robots, pushing the boundaries of creativity and affordability.
HardwareLaserCut:Stepper Motor Mounts
The stepper motor mounts are made from laser cutting 6mm and 3mm plywood. It is made up of two layers: The first layer holds the stepper motor and nut, andthe second layer holds the bolts that secure the nuts.
It took multiple iterations from Milestone 1 to 3 to arrive at the final design of the mount. At the end of Milestone 2, we were at the 6th iteration of the mount after extending the mount length, refining the hole shapes to fit the nut's head snugly, and adding a second layer to the front of the mount for securing the nuts.
3D-PrintedShield
The images showcase two components: a shield and a base, specifically designed as protective enclosures for an Arduino board. These pieces were 3D-printed, a method chosen for its precision and customizability. The shield appears to have multiple ventilation slats to ensure adequate airflow, preventing overheating of the electronic components, while the base is engineered to interface seamlessly with the laser-cut Arduino board mount, ensuring stability and support for the setup.
Unfortunately, a last-minute switch to a different Arduino board, due to the incompatibility of the pre-written code with the original board, rendered the custom-made case obsolete as there was not enough time to redesign and update the shield to fit the new board dimensions. This highlights the often unpredictable and dynamic nature of prototyping where design adjustments must be made rapidly in response to changing requirements or unforeseen technical challenges.
LaserCut:ArduinoBoardMount
We designed a custom-designed mount for an Arduino board, crafted by laser-cutting four pieces of 5mm plyboard, a material chosen for its ease of cutting and sturdy nature. The design was created using Adobe Illustrator, ensuring precision and fit for the Arduino board. The mount features two strategically placed cut-through holes allowing for the board to be securely fastened onto the mount using two screws that fit snugly into these holes. This design ensures that the Arduino board is elevated from the surface, which can help prevent short circuits and allow for easier access to the board's inputs and outputs. The arrangement of the wires and components indicates a working setup, possibly part of a larger project or prototype.
Gondola
For our first iteration of the gondola, we found and printed this 3d model: https://www.thingiverse.com/thing:575487
This was not ideal as we had to attach the timing belts and servo motor with zip ties, drill a hole in the cup to attach a screw with bolts to weigh it, adjust the marker hole size with a drill, and more. After all these adjustments, the gondola did not look clean and the weights were not centered.
Afterward, we experimented with a partially 3d printed and partially laser cut model (not pictured), which was slightly better weight-wise but it was not ideal and had a lot of room for improvement appearance-wise.
After getting a hands-on feel of the limitations of the previous two gondola models, we were able to design and print a new model that was much cleaner looking and was weighted correctly. Some notable features are the platforms to bolt down the servo motor, parts for our 3D printed hooks to fit securely, and the platform instead of the cup to more easily insert the screw and bolts to weight the model more centrally. We also use a very minimalist design with a print time of less than 2 hours and an uncomplicated assembly, which we feel is an improvement over similar quality gondola designs by others. The main feature was making the timing belts easy to change based on the size of the whiteboard, so we 3D printed hooks that could be attached to the timing belt, which hook onto to the Gondola.
Each belt needs a counterweight to make the essential tension at the pulley. You can find the 3D design file of the part that is attached to the end of the belt and the counterweights hung on it in the attachment.
The counterweights also help in calibrating the home position of the Gondola along with the tilt switches mounted on the Stepper Mounts.
We initially tried using the original polargraph software and firmware, however, the libraries were very outdated and slow. We searched for different options and eventually found the Makelangelo software, which could be used with the Marlin firmware. It took us some time to figure out how to adapt the firmware to our board specifications, and we had to switch out the Arduino Nano for the Arduino Mega to work with the Marlin firmware.
First, we adapted the Marlin firmware for Arduino Nano as we would like to use it along with CNC shield boards v4. However, after we adapted the Marlin firmware to work with Arduino Nano + CNCv4 board the compiled firmware was larger than the flash size of Arduino Nano which is about 32 KB. Then, we decided to use Arduino Mega 2560 which has enough flash size to run the Marlin Firmware.
The Marlin firmware was originally developed for 3D printers. The main functionality of the firmware is to read G-Code commands either from an SD card or via serial port and control stepper motors and other actuators such as extruders or lasers. Since reading the G-Code has already been deployed in the Marlin firmware, it is a good starting point for development.
To adapt the Marlin firmware for our polargraph we defined the RAMPS board and its pin configurations and defined which pins have been used for stepper motors, servo motor, and end-stop limit switches. Here we summarize some of the most important configurations in the src/Configuration.h and src/Configuration_adv.h file. You can find the adapted firmware code here.
Set the motherboard:
#define MOTHERBOARD BOARD_RAMPS_14_EFB
Set the machine type:
#define CUSTOM_MACHINE_NAME "Polargraph"
Set the length of each belt:
#define POLARGRAPH_MAX_BELT_LEN 1430.0
While the Arduino IDE is fantastic for beginners, our intricate firmware with its C/C++ mix and extensive configuration options demanded more. VS Code and PlatformIO came to the rescue, their code navigation aids, flexible build systems, and extensive customization options proving invaluable as we navigated the project's complexities.
The Makelangelo software is easy to install. This software provides a graphic user interface to draw various graphical shapes or import your image or vector as the input and control the robot by sending the G-Code via serial. First, we set up the configuration of our whiteboard in the software.
We switched to the Arduino Mega which has extra memory and processing power, along with it we used the RAMPS 1.4 Shield to control the stepper motors. We used two micro switches to detect the end of the belt at each side. Every time, before starting to draw the design the robot should detect the home position which is the bottom-center of the drawing area. Calibrating and finding the home position is filmed here:
The RAMPS board is a header board for Arduino Mega and is mounted on top of it. You can see the connections to the board below. The two left sets of wires are coming from micro switches. The two middle connectors are from the stepper motors. And the top 3-wire connector is the servo pins. The RAMPS board has been designed for 3D printers so they have two 12v inputs one 5A for stepper motors and one 11A for extruders. Since we don't have an extruder we don't need a 11A power supply. A single 12V-3A power supply is enough for our robot.
The Gondola has a servo motor which controls a 3D printed actuator which lifts the pen away from the surface when not needed.
SVG Image Generator Script
Python{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "2Mag01wLAq02",
"outputId": "4b240a8f-fb3a-43d1-b2b1-60be3570c411"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting openai\n",
" Downloading openai-1.3.7-py3-none-any.whl (221 kB)\n",
"\u001b[?25l \u001b[90m\u001b[0m \u001b[32m0.0/221.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m\u001b[0m\u001b[90m\u001b[0m\u001b[90m\u001b[0m \u001b[32m194.6/221.4 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m\u001b[0m \u001b[32m221.4/221.4 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: anyio<4,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from openai) (3.7.1)\n",
"Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from openai) (1.7.0)\n",
"Collecting httpx<1,>=0.23.0 (from openai)\n",
" Downloading httpx-0.25.2-py3-none-any.whl (74 kB)\n",
"\u001b[2K \u001b[90m\u001b[0m \u001b[32m75.0/75.0 kB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from openai) (1.10.13)\n",
"Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from openai) (1.3.0)\n",
"Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.10/dist-packages (from openai) (4.66.1)\n",
"Requirement already satisfied: typing-extensions<5,>=4.5 in /usr/local/lib/python3.10/dist-packages (from openai) (4.5.0)\n",
"Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (3.6)\n",
"Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.2.0)\n",
"Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (2023.11.17)\n",
"Collecting httpcore==1.* (from httpx<1,>=0.23.0->openai)\n",
" Downloading httpcore-1.0.2-py3-none-any.whl (76 kB)\n",
"\u001b[2K \u001b[90m\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting h11<0.15,>=0.13 (from httpcore==1.*->httpx<1,>=0.23.0->openai)\n",
" Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
"\u001b[2K \u001b[90m\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hInstalling collected packages: h11, httpcore, httpx, openai\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"llmx 0.0.15a0 requires cohere, which is not installed.\n",
"llmx 0.0.15a0 requires tiktoken, which is not installed.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed h11-0.14.0 httpcore-1.0.2 httpx-0.25.2 openai-1.3.7\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (2.31.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests) (3.6)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests) (2023.11.17)\n",
"Collecting convertapi\n",
" Downloading convertapi-1.7.0-py2.py3-none-any.whl (7.3 kB)\n",
"Requirement already satisfied: requests>=2.4.2 in /usr/local/lib/python3.10/dist-packages (from convertapi) (2.31.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (3.6)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.4.2->convertapi) (2023.11.17)\n",
"Installing collected packages: convertapi\n",
"Successfully installed convertapi-1.7.0\n"
]
}
],
"source": [
"%pip install openai\n",
"%pip install requests\n",
"%pip install --upgrade convertapi"
]
},
{
"cell_type": "code",
"source": [
"import openai\n",
"from openai import OpenAI\n",
"import requests\n",
"import convertapi\n",
"\n",
"from google.colab import userdata"
],
"metadata": {
"id": "FDITo7eHA0U7"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"convertapi.api_secret = userdata.get('CAPI')\n",
"\n",
"client = OpenAI(\n",
" api_key=userdata.get('OAI'),\n",
")"
],
"metadata": {
"id": "3LqKqTJ8A1jp"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"prompt = \"simple line art of a cat, vector drawing, svg\""
],
"metadata": {
"id": "JsTZCDQwBVCK"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"response = client.images.generate(\n",
" model=\"dall-e-3\",\n",
" prompt=prompt,\n",
" size=\"1024x1024\",\n",
" quality=\"standard\",\n",
" n=1,\n",
")\n",
"\n",
"image_url = response.data[0].url\n",
"\n",
"data = requests.get(image_url).content\n",
"f = open('my_image.png','wb')\n",
"f.write(data)\n",
"f.close()\n",
"\n",
"result = convertapi.convert('svg', { 'File': 'my_image.png' })\n",
"\n",
"# svg file has to be downloaded from Files menu on the left side\n",
"result.file.save('my_image2.svg')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 36
},
"id": "VtJLFbqYBX4-",
"outputId": "8b0db2cc-4a5c-4fbd-8499-2c50a7c7d041"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'my_image2.svg'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 11
}
]
},
{
"cell_type": "code",
"source": [
"from IPython.display import SVG, display\n",
"display(SVG('my_image2.svg'))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "LQg4RuprCj24",
"outputId": "c4702386-f162-4ea4-b918-12a8986839d4"
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.SVG object>"
],
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},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"metadata": {
"id": "gY0WRR4hGl_g"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "LLnBgYmkE_Tc"
},
"execution_count": null,
"outputs": []
}
]
}
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