PAM8403 is a small digital amplifier chip, high-definition sound quality highlights the advantages of digital chips
Circuit using a reasonable peripheral configuration, power supply filter upgrade to 470uf, 1.6mm fiberglass plate, the amplifier board to do the meticulous
Output 3W + 3W high-fidelity sound quality, potentiometer using the original anti-surface body, life expectancy of up to 15 years, potentiometer with a switch can be counterclockwise directly cut off the power supply.
Please ensure that the power supply voltage does not exceed 5.5V, and please do not reverse the positive (+) negative (-) polarity, otherwise it will burn the circuit board!
Size: with potentiometer about 29.5 x 20.2 x 15 mm, module about 21 x 18 mm
The WAVEGO is a high-DOF bionic dog-like robot which features 2.3kg.cm large torque servos, reliable structure, and flexible motion, incorporating devices like front camera, 9-axes motion tracker, RGB indicator, etc., together with open source multi-platform Web application. It uses the ESP32 as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller, an additional Raspberry Pi can be attached as the host controller for high-level decision operating.
Overall 12-DOF, multi connecting rods leg design, increasing the servo effective torque
A real time operating system is used as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller and improving the gait solving efficiency
Ultra compact structure design, allows using on the table, aluminum alloy + nylon structure materials, ensuring strength while keeping it light weight
Additional Raspberry Pi can beattached as the host controller to enable OpenCV high-level functions, demo codes including facial recognition, motion detection, color tracking, and more. Reserved extension interface for secondary development, along with user manual and secondary development documents.
The WAVEGO is a high-DOF bionic dog-like robot which features 2.3kg.cm large torque servos, reliable structure, and flexible motion, incorporating devices like front camera, 9-axes motion tracker, RGB indicator, etc., together with open source multi-platform Web application. It uses the ESP32 as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller, an additional Raspberry Pi can be attached as the host controller for high-level decision operating.
Overall 12-DOF, multi connecting rods leg design, increasing the servo effective torque
A real time operating system is used as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller and improving the gait solving efficiency
Ultra compact structure design, allows using on the table, aluminum alloy + nylon structure materials, ensuring strength while keeping it light weight
Additional Raspberry Pi can beattached as the host controller to enable OpenCV high-level functions, demo codes including facial recognition, motion detection, color tracking, and more. Reserved extension interface for secondary development, along with user manual and secondary development documents.
The WAVEGO is a high-DOF bionic dog-like robot which features 2.3kg.cm large torque servos, reliable structure, and flexible motion, incorporating devices like front camera, 9-axes motion tracker, RGB indicator, etc., together with open source multi-platform Web application. It uses the ESP32 as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller, an additional Raspberry Pi can be attached as the host controller for high-level decision operating.
Overall 12-DOF, multi connecting rods leg design, increasing the servo effective torque
A real time operating system is used as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller and improving the gait solving efficiency
Ultra compact structure design, allows using on the table, aluminum alloy + nylon structure materials, ensuring strength while keeping it light weight
Additional Raspberry Pi can beattached as the host controller to enable OpenCV high-level functions, demo codes including facial recognition, motion detection, color tracking, and more. Reserved extension interface for secondary development, along with user manual and secondary development documents.
The WAVEGO is a high-DOF bionic dog-like robot which features 2.3kg.cm large torque servos, reliable structure, and flexible motion, incorporating devices like front camera, 9-axes motion tracker, RGB indicator, etc., together with open source multi-platform Web application. It uses the ESP32 as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller, an additional Raspberry Pi can be attached as the host controller for high-level decision operating.
Overall 12-DOF, multi connecting rods leg design, increasing the servo effective torque
A real time operating system is used as sub controller for connecting rod inverse solving and gait generation, sharing calculating task for the host controller and improving the gait solving efficiency
Ultra compact structure design, allows using on the table, aluminum alloy + nylon structure materials, ensuring strength while keeping it light weight
Additional Raspberry Pi can beattached as the host controller to enable OpenCV high-level functions, demo codes including facial recognition, motion detection, color tracking, and more. Reserved extension interface for secondary development, along with user manual and secondary development documents.
Quality chassis with track: Adopting 37-520 full-metal DC geared motor, High torque, low noise
180 degree wide angle rotation, flexible controlling robotic arm
Quality serial bus full-metal digital servo: High torque, high precision, preventing, it from being stuck and pamaged
Auto collision avoidance: Collecting data via camera by taking enough images of different conditions, using the data to train the neutral network, combined With AI algorithm, achieving auto collision avoidance on sorts of environments.
Motion detection: Capturing moving objects on the video by motion detection
Color recognition and tracking: Recognizing and locking specified color by camera, and then using pan & tilt to track the specified color automatically
3D coordinate system controlled robotic arm, calculated via Inverse Kinematics algorithm: Input coordinate of the target, calculating the moving angles of the 4-DOF servos by inverse kinematics algorithm, and then controlling the servos via serial bus, moving the robotic arm to reach target position
JupyterLab programming: JupyterLab is a web-based interactive development environment, supports multi data formats including code, document, image/video, UI control interface, etc., provides rich visualized output, allows easily creating dashboard and UI, supports flexible configuration and arrangement for modular interface.
Smart robot is always the favorite project of electronic enthusiasts, however, a robot will be "not that smart" if it is not AI-based.
Welcome the JetBot, an actual smart robot powered by Jetson Nano. With the intelligent eye (front camera), facial recognition, object tracking, auto line following, and collision avoidance can be easily achieved. It also comes with ROS nodes code, which makes it easy to get started with the open source ROS (Robot Operating System), and to learn the system framework and concepts of ROS.
If you have got a Jetson Nano on your desk right now, combined with our open source codes and tutorials, these add-ons would be the ideal choice for you to learn AI robot designing and development.
Adopts 3x 18650 batteries (NOT included), high battery capacity, up to 12.6V voltage output, more powerful driving force.
Integrates S-8254AA + AO4407A lithium battery protection circuit, provides protections for over-charge, over-discharge, over-current, and short circuit.
Onboard APW7313 voltage regulator, provides stable 5V voltage for the Jetson Nano.
Smart robot is always the favorite project of electronic enthusiasts, however, a robot will be "not that smart" if it is not AI-based.
Welcome the JetBot, an actual smart robot powered by Jetson Nano. With the intelligent eye (front camera), facial recognition, object tracking, auto line following, and collision avoidance can be easily achieved. It also comes with ROS nodes code, which makes it easy to get started with the open source ROS (Robot Operating System), and to learn the system framework and concepts of ROS.
Adopts 3x 18650 batteries (NOT included), high battery capacity, up to 12.6V voltage output, more powerful driving force.
Integrates S-8254AA + AO4407A lithium battery protection circuit, provides protections for over-charge, over-discharge, over-current, and short circuit.
Onboard APW7313 voltage regulator, provides stable 5V voltage for the Jetson Nano.
Onboard TB6612FNG dual H-bridge motor driver.
Onboard 0.91inch 12832 pixels OLED, allows to display robot IP address, RAM, battery life, etc.
This AlphaBot2 robot kit is designed to use with an Arduino compatible board UNO PLUS. It features rich common robot functions including line tracking, obstacle avoiding, ultrasonic ranging, infrared remote control, Bluetooth communication, etc.
Thanks to the highly integrated modular design, it is fairly easy to assemble by a snap, no soldering, no wiring. After a few minutes spent on hardware assembing, you're almost there, our open source demo codes is ready to help you get started fast.
UNO PLUS Features
UNO PLUS is a development board compatible with the Arduino UNO R3, an improved & enhanced alternative solution for Arduino UNO R3.
AlphaBot2 Features
AlphaBot2 employs a 2-layer structure to provide excellent stability and compatibility.