M.A.R.K (Make A Robot Kit) – For Hands-on AI Learning
M.A.R.K is an AI-powered robotics learning product for K-12 AI education. Students experience robot car assembly and learn in-depth about the AI technology applications, for example, image recognition, object detection, computer vision, and self-driving. MARK, your hands-on AI learning experience. Make A Robot Kit aka MARK, as seen on Kickstarter & in the Press.
CyberEye, the mainboard of the M.A.R.K robot, supports both block-based programming with Codecraft and Micropython programming. As soon as your M.A.R.K robot is assembled, you can follow our step-by-step tutorials to write fun and engaging programs to bring the robocar to life, all while improving your programming skills and AI-related knowledge.
Make A Self Driving Car
Implement your self-driving, advanced map, and story-based projects or use them in robotics competitions. MARK is designed in the form of a car, so we’ll preload code that allows you to implement basic self-driving car functionality once everything is assembled and connected. Scroll down for a project video of the self-driving function.
Interactive & Engaging through AI Recognition
Mark comes pre-loaded with functionality to recognize colors, shapes, and objects within these categories. But of course, you should train your own custom models! We provide a collab notebook to guide you through this process. Scroll down to check out a video of MARK interacting with Pet animals.
On Device Model Training
Simple custom classifier models can be trained on MARK through data collection via the onboard camera, automatic data processing & model training by the CyberEye (brains of the MARK), and model deployment directly on MARK saved for reuse on an SD card.
Hands-On from Construction to Coding
For a Hands-on construction experience, MARK will come disassembled in parts with the tools you need to make your robot.
Interface board – Markduino
Included are stepper motor & spare servo ports, which you could utilize to extend MARK as a robot with a grabber or conveyor functionality. The Markduino also includes spare Digital, Analog, and I2C ports, into which you can easily plug & play some compatible Grove series sensors. Read more about grove here. Those familiar with Arduinos will notice that the Markduino pinout fits to implement projects with this controller too.
We’ve developed a mini-grabber and rubber slingshot attachment to extend the fun you can have with your MARK. This will be available in the Robotics Extension Pack, but you are also welcome to make your own designs to extend MARK’s applications.
Supported with Coursework and Graphical Coding Software
make2Learn is our project and lesson-sharing platform to access course content directly related to MARK and our other support projects. There are courses for Machine Learning and Autonomous Driving. The above is an extract from Autonomous Driving. Find Lessons on make2learn.tinkergen.com
Accessible Yet Intelligent
We want AI learning to be accessible to those from various backgrounds so you’ll be able to code MARK graphically by dragging and dropping code blocks.
Codecraft is a graphical programming software based on Scratch 3.0, developed by us, available on desktop & in-browser. Codecraft will support MARK AI functions in drag and drop code, enables you to see what the MicroPython code would look like. Connect and then click upload to start using your MARK with its edited program. If you’re confident with your coding skills, you can also go ahead and edit text-based Python code in Codecraft. You can even use your own custom models through Codecraft.
Customizable, Extendable & Open Source
Extend with our extension packs (available soon) or DIY. 3D print your own cover to customize MARK into whatever color you like. Add structural modifications onto the Chassis, which includes multiple attachment points.
*note grabber, slingshot attachment shown in images above are not included in Make A Robot Kit.
**multiple color choices are not available for purchase but will provide STL files for 3D FDM printing with PLA colors.
This kit is suitable for:
Maker teachers / high school students / homeschooling educators / STEM camps / AI experimenters / AI & robotics learners
Power Supply ：6 x AA batteries
|Data connection: USB C|
|Display: 2.4″ color LCD|
|Storage: micro SD slot|
|Connectivity via onboard ESP32: Wifi 2.4G, Bluetooth 4.2|
|CPU: RISC-V Dual Core 64 bit with FPU|
|KPU: CNN Hardware accelerator 0.25 TOPS @ 0.3W, 400MHz; overclock to 800MHz, 0.5 TOPS|
|Static RAM 8MB Total: 6MB SRAM, 2MB AI SRAM|
|Image Recognition: QVGA@60fps VGA@30fps or overclocked 60fps|
|Package Dimensions:||316 (L) * 315(W) * 100 (H) (mm)|
|Age for Use:||12+|
Inside the M.A.R.K