Electrical & Electronic Components
The navX-2 Micro is the greatest sensor for orientation in competitive robots. navX2-Micro is a second-generation 9-axis inertial/magnetic sensor and motion processor. Designed for plug-n-play installation onto robots such as those used in the WorldSkills Robotics, FIRST Technology Challenge (FTC) and the FIRST Robotics Challenge (FRC), navX2-Micro helps build better robots by adding sophisticated navigation capabilities. Significant improvements over the classic navX-Micro allow for more accuracy, decreased yaw drift, and faster boot time. navX-2 Micro includes software algorithms for enhanced sensor calibration as well as KalmanFilter-based data fusion combining gyro, accelerometer, and magnetometer data into a 9-axis heading and high-quality magnetometer calibration including magnetic disturbance detection.
In addition to being an Inertial Measurement Unit, navX-Micro capabilities are referred to within the aerospace industry as an “Attitude/Heading Reference System” (AHRS). Kauailabs brings this high-tech AHRS capability to FIRST teams – to use, learn, and explore. navX-Micro is a key component of Kauailabs’ ongoing efforts to make state-of-the-art navigation technologies used in drones and autonomous vehicles (e.g., the Google Car) available to robotics students and enthusiasts as low-cost, open-source products.
Improvements over navX "Classic":
navX2-Micro features a new set of IMU & Magnetometer sensors with superior sensor specifications to those on the MPU-9250 sensor. This board has a faster 180Mhz microcontroller and an optimized startup time at 5 seconds versus 15 seconds. In addition, it has a completely new Kalman Filter-based Sensor Fusion algorithm running internally at a blazing fast 416Hz.
It's recommended to connect to the RoboRIO using a USB Mini-B type (Male) to USB A type (Male) connector, navX-Micro can receive both power and also communicate with the RoboRIO. This preferred installation method allows the navX-Micro circuit board to be placed up to 6 meters away from the RoboRIO.
IMPORTANT NOTE: To avoid having the navX-Micro reset due to a RoboRIO brownout, connecting the navX-Micro to the RoboRIO via USB is highly recommended.
BRAND NEW NEXT-GENERATION SENSOR NOW AVAILABLE - leveraging new sensors and state-of-the-art algorithms to deliver a leap forward in accuracy and performance.
“Generation 2” navX2-MXP is a drop-in replacement for “Classic” navX-MXP, adding significant performance enhancements. See the Frequently Asked Questions (FAQ) for more information about navX2-MXP's new and enhanced capabilities.
navX2 MXP 4.1
Key specifications include:
What's New and Improved in navX2-MXP
More technical details are available in the navX2 MXP technical specifications and there's even more information at navX2-MXP Online.
WPILib Online Install Link: https://dev.studica.com/releases/2023/NavX.json
WPILib Offline Install, once downloaded, extract the contents into C:\Users\Public\wpilib\2023\ on windows or ~/wpilib/2023/ on Linux and macOS.
The Studica 12V 3,000 mAh NiMH (nickel metal hydride) Battery Pack, PP45 comes with a w/20 amp fuse. It is a 10-cell, 12-volt rechargeable battery that brings long-lasting power to motors and electronics that are used in the WorldSkills Mobile Robotics Collection. The Studica NiMH Battery Pack Charger, PP45, is required to charge the battery.
This battery is NOT COMPETITION LEGAL for FIRST TECH CHALLENGE or FIRST ROBOTICS COMPETITION.
Pre-Order (coming soon)
The Studica 360 Degree LiDAR is a 2D LiDAR that rotates 360 degrees to achieve high accuracy, stable performance, high-frequency and high-precision distance measurement. It's ideal for robot navigation and obstacle avoidance.
Lidar Step File
Lidar Control Unit Step File
Designed as a more affordable replacement for the RealSense D435, the Studica 3D Depth Sense Camera provides an accurate high-definition depth-sensing camera for mobile robotics and consumer electronic projects.
Use it to power the Studica Smart Robot Servo Programmer or any other device requiring 6V output and a TJC8 connector.
The Studica Analog Module
Studica Blackhawk Expansion Board is a programmable expansion add on for your WorldSkills Mobile Robot.The board is used with the Studica MD2 driver board and the NI myRIO to control servo motors and to add additional sensor expansion and I/O including limit switches and relays.
The Studica WSR Robotic Expansion Board features:
The Cobra Line Follower Array provides 4 X QRE1113 IR reflectance sensor mounted on a 9mm pitch Each sensor is comprised of two parts - an IR emitting LED and an IR sensitive phototransistor. When you apply power to the VCC and GND pins the IR LED inside the sensor will illuminate.
The Studica Line Sensor Board consists of 4 IR LED/phototransistor pairs, making it a great detector for a line-following robot. The Line Sensor Board allows the robot to tell objects or surfaces apart based on how dark or light they are. It shines a beam of infrared light out onto the object, and measures how much light is reflected back.
Each sensor provides a separate analog voltage output. The sensor board is an infrared emitter/receiver that is able to differentiate between a dark surface (with low IR reflectivity – 3.3V to 5V) and a light surface (with high IR reflectivity – 0V to 0.5V). However, this range can vary depended on the installed height of the sensor board.
The optimum height distance is 3-5 mm; however, the reflectivity values will change depending on distance. A daylight filter is built into the sensor.
Ideal for the myRIO.
Use the Dupont Single Pin - 4 wire - female to female cable with the Ultrasonic Distance Sensor
The Sharp IR Distance Sensor GP2Y0A21YK0F uses a beam of infrared light to reflect off an object to measure its distance. Because it uses triangulation of the beam of light to calculate the distance, it is able to provide consistent and reliable readings which are less sensitive to temperature variation or the object’s reflectivity. The sensor outputs an analog voltage corresponding to the distance of the object, and can easily be read using an inexpensive analog to digital converter (ADC) chip.