your next robot is a desktop research robot
We believe that modern robotics/AI needs a boost from the bottom, to take another two to three steps back and take the time to close the sensorimotor gap and look intensively at learning procedures before moving on to higher function such as assistance for humans.
That’s why we developed flatcat as an open, extremely simplified platform from the ground up to enable people from different scientific and research fields, as well as developers and engineers, to develop their own applications or solve research questions with a real robot. flatcat is designed to be inexpensive and highly simplified, making it accessible to many.
flatcat is open-source in hardware, firmware and software. The circuits are just as studiable and expandable as the software. The mechanics are made of 3D-printed parts and can therefore be repaired and adapted over and over again. We use readily available off-the-shelf components as much as possible to ensure parts availability. The design is modular and expandable, e. g. more joints, different motors, new controllers, more sensors etc. The mechanics is portable and lightweight, i. e. results can be presented live, mobile use is possible, etc. The motion dimension of flatcat is 2-dimensional and the reduced complexity is initially very convenient for many problems, the robot can be maintained and operated by one person, (desktop research robot).
flatcat provides a Python/C++ interface for the development of applications. The host platform is a Raspberry Pi (Zero/W) with WiFi module which drives the motors via a symmetric, i. e. insensitive data bus (RS-485, 1MBaud).
The power supply can be 6-12V, the internal battery is a 2-cell lithium polymer battery with 7.4V nominal voltage (6.6 – 8.4V, low to high). A stationary power supply can also be connected.
The motor controllers are a Jetpack open-source development: called Sensorimotor. They have rich sensory feedback (bidirectional current, supply voltage, temperature, 300° position, and speed) and provide various control modes such as position PID and Cognitive Sensorimotor Loops (CSL). The motors can also be used for simple sound generation (Beta).