[Sebastian Goscik]’s entry in the 2017 Hackaday Prize is a line following robot. Well, not really; the end result is a line following robot, but the actual project is about a simple, cheap robot chassis to be used in schools, clubs, and other educational, STEAM education events. Along with the chassis design comes a lesson plan allowing teachers to have a head start when presenting the kit to their students.
The lesson plan is for a line-following robot, but in design is a second lesson – traffic lights which connect to a main base through a bus and work in sync. The idea of these lessons is to be fairly simple and straightforward for both the teachers and the students in order to get them more interested in STEM subjects.
What [Sebastian] noticed about other robot kits was that they were expensive or complicated or lacked tutorials. Some either came pre-assembled or took a long time to assemble. [Sebastian] simplified things – The only things required after the initial assembly of the chassis are: Zip-ties, electrical tape and a few screws. The PCB can’t be disassembled, but the assembled PCB can be reused.
The hardware [Sebastian] came up with consists of some 3mm material that can be laser cut (acrylic or wood) and a sensor board that has 5 IR LEDs and corresponding IR sensors. The chassis can be put together using nothing more than a Phillips screwdriver, and the sensor PCBs are well documented so that soldering them is as easy as possible. An Arduino is used as the brains of the unit.
[Sebastian] has come up with a great project and the idea of a platform like this with a couple of lesson plans included is a great one. He’s released the hardware under an Open Hardware license as well so others can share and add-on. Of course, there are other line following robots, like this miniature one created with analog circuitry, and there are other open source robots for teaching, like this one. But [Sebastian]’s focus on the lesson plans is a really unique way of approaching the problem – one that will hopefully be very successful.
Filed under: robots hacks
, The Hackaday Prize