Hiwonder ROSPug Quadruped Bionic Robot Dog Powered by Jetson Nano ROS Open Source Python Programming

The Hiwonder ROSPug is an advanced quadruped bionic robot dog built on the Robot Operating System (ROS) and powered by an NVIDIA Jetson Nano. Ideal for students, educators, and robotics hobbyists, it offers a powerful platform for exploring quadruped kinematics, SLAM mapping, and deep learning. With its open-source Python programming and Gazebo simulation support, it provides a comprehensive hands-on learning experience for advanced makers.

Advanced ROS quadruped platform

Equipped with an NVIDIA Jetson Nano, TOF Lidar, HD camera, and IMU sensor, the ROSPug uses a self-developed dynamic balancing kinematics algorithm to switch between multiple gaits. It supports Gazebo simulation for testing path planning, alongside real-world SLAM mapping and dynamic obstacle avoidance.

Aluminium alloy structure with 12 DOF

The robot features 12 high-performance servos distributed across the elbow, shoulder, and hip joints of each leg to mimic real quadruped movement. The entire body is constructed from lightweight, high-strength aluminium alloy, with the calf joints reinforced by metal bearings.

High-performance AI hardware

Powered by an NVIDIA Jetson Nano, the robot integrates high-performance Lidar and an HD wide-angle camera. This hardware suite enables users to validate creative AI applications, machine vision, and deep learning algorithms.

Link structure for smooth motion

A specialised link structure design enhances the speed of the calf joint and prevents interference during movement. This mechanical design extends the leg's rotation range for smoother, more efficient locomotion.

High-torque intelligent bus servos

The ROSPug utilises intelligent serial bus servos that deliver 30KG of torque under a robust 12V power supply. These servos provide exceptional accuracy, simplified wiring, and real-time data feedback.

Dual-controller collaborative architecture

This platform combines the AI processing capabilities of an NVIDIA Jetson Nano with a high-frequency MCU. This dual-controller design ensures high operational accuracy and allows the system to handle complex real-time control challenges.

Graphical PC software control

Users can easily customise actions and control individual servos without programming by using the graphical PC software. This interface allows you to adjust movements simply by dragging sliders.

Open-source Python programming

All intelligent Python code is fully open-source and features detailed annotations to assist with self-study. This makes it straightforward for developers to modify code, implement machine vision, or deploy deep learning projects.