Ginobot Advanced Edition

GinoBot advanced edition is a step-up from the basic one by including the PCB adaptor plate which supports Arduino, Micro:bit or Raspberry Pi (not included), a 3-hour* lasting rechargeable battery, and the Ultrasound sensor at front. GinoBot is a highly programmable robot ready to be used straight out of the box. Developed by a high-level research team of engineers and academics, GinoBot is a unique tool for teaching STEM disciplines, computational thinking and digital literacy with fun and handson experiencial activities. GinoBot is the robot that helps students explore divergent projects in a broad range of levels. It has literally unlimited expansion potential since it allows the attachment of add-on 3rd party electronics and hardware like a Raspberry Pi, Arduino, and micro:bit. Besides its internal sensors and its expandability with 3rd party electronics, the body of GinoBot is also compatible with the ENGINO building system to construct larger and more sophisticated robots. The innovation of GinoBot lies within its core design. It is expandable and adaptable to a very broad range of features to match the classroom needs of different ages. Plug&play robots are commonly used in pre-school and early primary classrooms in order to teach algorithmic and computational thinking. GinoBot is an ideal plug&play robot since it allows manual programming and wireless control that allows teaching the fundamental steps of programming. The upgradable potential of GinoBot is essentially unlimited due to its compatibility with microcontrollers such as Arduino, Raspberry Pi and micro:bit. Teaching real programming languages such as C/C++ and Python can easily be adopted in a classroom, while maintaining fun, entertainment and motivation to the students. The advantage of working in open projects materializes through this holistic solution that combines mechanics with software and electronics. GinoBot comes in various editions to allow different possibilities depending on schools budget, age of students and complexity required.