- There are two versions of the PuppyPi Standard Kit available
- It supports Gazebo simulation
- It is powered by a Raspberry Pi CM4 4GB and is based on ROS
- It is capable of gait planning and adopts linkage kinematics
- It has machine vision and works with OpenCV
The Puppypi Hiwonder Quadruped Robot with AI Vision & Raspberry Pi ROS Open Source Robot Dog Standard Kitis made of aluminium alloy and loaded with 8 powerful coreless servos. Its legs feature a linkage mechanism which increases the angular velocity of its lower legs, allowing for independent movement of different parts of the leg, contributing to a greater rotation range. This enables it to walk, step up and down stairs, and perform a variety of other actions. It also features a first person vision for realizing more interesting AI games, including target tracking, face detection, line following, auto climbing and more.
PuppyPi is based on ROS (Robot Operating System) and supports Gazebo simulation, making it an ideal platform for learning and verifying machine vision, robot kinematics, quadruped gait control and other algorithms. Ample tutorials and open source codes are available to help you get started quickly.
In addition to its realistic bionic appearance, PuppyPi also offers adjustable speed, height and inclination, as well as intelligent self balancing thanks to its built in IMU sensor. Its built in HD wide angle camera of 100W pixel enables AI vision and unlimited creativity, allowing it to recognize and locate different targets and achieve line following, obstacle crossing, face detection, ball shooting, color tracking, tag recognition and more.
For even more convenience, PuppyPi is also compatible with both Android and iOS mobile apps, allowing you to remotely control the robot and view what the robot sees.
Overall, PuppyPi is a great platform for learning and exploring robotics, providing a fresh approach for controlling and verifying algorithms in simulated environments, reducing experimental requirements and improving efficiency.
