Photo credits: HIWONDER
EDU+ PupPi quadruped robot running Python ROS2 on a Raspberry Pi 5 (8GB RAM), with voice and image recognition, color and QR code scanning. Features 8 powerful servomotors, stainless steel metal gears, a 2D HD camera, AI mapping module, LiDAR, robotic arm, and gripper.
Find more information about the product below.
PupPi is an AI-powered quadruped robot dog based on the Raspberry Pi 5. It is equipped with 8 high-performance coreless servos and features a linkage structure design in its legs, allowing for flexible and dynamic movement.
PupPi is an AI-powered quadruped robot dog based on the Raspberry Pi 5. It features eight high-performance coreless servos and a linkage structure design in its legs, enabling flexible and dynamic movement. Running on ROS1 and ROS2 operating systems, PupPi supports Python programming and integrates AI vision capabilities, such as target tracking and face detection, to support a variety of creative AI applications. With its multimodal AI model, camera, and AI voice interaction module, PupPi can understand its environment and perform tasks with agility, enabling advanced embedded AI applications.
Dual controller design for efficient collaboration
AI vision, unlimited creativity
The PupPi robot dog is equipped with a wide-angle HD camera on its head, enabling real-time image acquisition and processing using the OpenCV vision library. It can detect and extract parameters such as the color and position of target objects within its field of view. The system supports a range of vision-based functions, including video streaming, color recognition, label identification, and visual line tracking. By applying a PID control algorithm, Hiwonder PupPi achieves real-time target locking, allowing for advanced AI applications such as target tracking and autonomous kicking.
Object tracking
Powered by the OpenCV vision library, the PupPi Raspberry Pi dog can detect and locate objects of a specific color in real time. Using PID control, its head can actively track moving targets with precision.
Going up and down the stairs
Hiwonder PupPi leverages the OpenCV vision library to accurately detect the spatial position and geometric contours of stairs in its view. Through autonomous decision-making, it can climb stairs efficiently and smoothly on its own.
Beacon recognition
Using OpenCV algorithms, the PupPi AI robotic dog can recognize and interpret tag codes within its field of vision. It can also calculate the position and orientation of each tag, allowing users to program custom interactive movements.
Face detection
Hiwonder PupPi features a built-in MediaPipe deep learning algorithm that works with a high-definition camera to accurately detect and lock onto the human face. Users can program PupPi to perform reactive actions based on facial detection.
Autonomous obstacles
Using the OpenCV vision library, the PupPi quadruped robot dog can detect obstacles in real time while following a path, capture their coordinates, and dynamically adjust its posture. It then autonomously makes decisions to navigate smoothly and overcome obstacles.
Next Line
Thanks to AI vision and PID motion control, Hiwonder PupPi can identify colored lines in its view and autonomously adjust its gait to follow the path smoothly and stably.
AI applications embedded in large models
Voice command
Scene comprehension
Tracking and firing the ball
Autonomous patrol
Transport of objects
Post-detection
Smart Home Assistant
Temperature report
