TETRIX Prime Expansion Set
Expand the horizons of your TETRIX® PRIME R/C Robotics Set. Engineer bigger, more advanced robots, increase the robustness of builds, and combine all the TETRIX PRIME components using the additional parts and pieces included in the TETRIX PRIME Expansion Set.
Overview
The TETRIX PRIME Expansion Set comes with three major parts that will provide students more design options for their robots.
Aluminum linkages – Mechanical linkages connect to manage force and movement.
Aluminum plates – Create custom gearboxes, strengthen connections, or create new ways to connect and combine all the TETRIX PRIME components.
Aluminum gussets – Use to connect beams or structural components as well as provide additional strength to joints.
TETRIX PRIME parts and pieces are made from aluminum and plastic.
Tech specs
- Students Served: 2
- Number of Pieces: 550+
- Material: Aluminum and plastic
Get Inspired
Device to automate that ordinary coffee maker everyone has.
For children who experience certain developmental delays, specific types of physical therapies are often employed to assist them in improving their balance and motor skills/coordination. Ivan Hernandez, Juan Diego Zambrano, and Abdelrahman Farag were looking for a way to quantify the progress patients make while simultaneously presenting a gamified approach, so they developed a standalone node for equilibrium evaluation that could do both. On the hardware side of things, an Arduino Nano BLE 33 Sense Rev2 is responsible for handling all of the incoming motion data from its onboard BMI270 six-axis IMU and BMM150 three-axis magnetometer. New readings are constantly taken, filtered, and fused together before being sent to an external device over Bluetooth Low Energy. The board was also connected to a buzzer and buttons for user inputs, as well as an RGB LED to get a real-time status. The patient begins the session by first putting on the wearable and connecting to the accompanying therapist application. Next, a game starts in which the user must move their torso to guide an image of a shark over the image of a stationary fish within a time period — ultimately trying to get the highest score possible. Throughout all of this, a vision system synchronizes its readings with the IMU sensor readings for an ultra-detailed look at how the patient responds to the game over time. To read more about the project, you can visit the team's write-up on Hackaday.io.