You can even use your own custom models through Codecraft.
#Robot kits arduino code
If you're confident with your coding skills you can also go ahead and edit text-based Python code in Codecraft. Simply connect and then click upload to start using your MARK with it's edited program. Codecraft will support MARK AI functions in drag and drop code, as well as enabling you to see what the MicroPython code would look like.
#Robot kits arduino software
We want AI learning to be accessible to those from a variety of backgrounds so you'll be able to code MARK graphically by dragging and dropping code blocks.Ĭodecraft is a graphical programming software based on Scratch 3.0, developed by us which is available on desktop & in-browser. Machine Learning Course for students aged 15-18 (recommended for grades 9-12)Īccessible Yet Intelligent Codecraft: Scratch 3.0 Based Graphical Coding Software for Beginners Find more Lessons on .Īutonomous Driving Course Materials of the Artificial Intelligence Series There are courses for Machine Learning and Autonomous Driving. Make2Learn is our project and lesson sharing platform where you can access course content directly related to MARK and our other support projects. The aluminum outer shell has a sleek design, with programmable headlights giving MARK a high-tech feel. allows you to implement a variety of fun and educational projects related to robotics, self-driving technology, and computer vision. With the display screen and camera, M.A.R.K. MARK has great extension capabilities, it includes a 2.4” color display screen and a pan-tilt camera. Simply attach metallic stickers (included in pack) on the back of an image card.ĭurable Aluminum Body with Built-in 2.4″ color Screen & Pan-tilt camera
There is also an ultrasonic sensor included for collision avoidance, a button which you can program to change modes and an electromagnet which gives MARK a "pick up" function. Implement your self-driving, advanced map & story-based projects or with Mark or use in robotics competitions! MARK is designed in the form of a car, so we'll preload code which allows you to implement basic self-driving car functionality once everything is assembled and connected.
Make A Self Driving Car That can Interactive with the external world 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 which can be saved for reuse on SD card. But of course, you should train your own custom models! We provide a colab notebook to guide you through this process. Check out this video of MARK interacting with pets! Mark comes pre-loaded with functionality to recognize colors, shapes, and objects within these categories.