Overview
The Hiwonder ROSPug Quadruped Bionic Robot Dog is a 12DOF ROS development platform for robotics education, quadruped kinematics, machine vision, and AI programming. Built around an NVIDIA Jetson Nano controller and an MCU-based control system, it combines intelligent serial bus servos, an aluminum-alloy chassis, lidar, camera, and IMU hardware for gait development and autonomous robotics experiments.
ROSPug supports ROS development and Gazebo simulation for testing quadruped kinematics, mapping, navigation, and path-planning workflows in a virtual environment. Python source code and graphical PC software support action editing, coordinate control, and programming-based development.
Key Features
- 12DOF quadruped mechanism with 12 intelligent serial bus servos.
- Aluminum-alloy body with rubber foot pads and metal bearings at the calf joints.
- Jetson Nano computing platform with an expansion board for project development.
- TOF lidar, 8 megapixel HD wide-angle camera, and built-in 6-axis IMU pose sensor.
- 30 kg-cm joint servo torque at 12V, with metal gears and servo feedback support.
- ROS-based inverse kinematics, gait planning, and Gazebo simulation support.
- Walk, amble, and trot gaits, with adjustable height, speed, pitch, roll, and movement direction.
- Graphical PC software for servo control, action editing, and coordinate-based inverse kinematics.
- Python programming support with open-source code for learning and experimentation.
- WonderROS app support for Android and iOS, including robot control and live camera viewing.
- Machine-vision development functions include color recognition, target tracking, line following, and AprilTag recognition.
Specifications
| Degrees of freedom | 12DOF |
| Main controller | NVIDIA Jetson Nano |
| CPU | Quad-core ARM Cortex-A57 MPCore processor |
| GPU | NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores |
| Memory | 4GB 64-bit LPDDR4 |
| Storage | 64GB SD card |
| Joint torque | 30 kg-cm at 12V |
| Camera | 8 megapixel HD wide-angle camera |
| Lidar | TOF lidar |
| IMU | Built-in 6-axis IMU pose sensor |
| Material | Aluminum alloy structure with rubber foot pads |
| Battery | 11.1V 3500mAh 5C LiPo battery |
| App | WonderROS (Android/iOS) |
| Robot size | 334 x 211 x 210 mm |
| Robot weight | About 1.65 kg |
| Package size | 44.5 x 33 x 18 cm |
| Package weight | 3.1 kg |
Applications
Suitable for STEAM education, ROS learning, Python programming, inverse kinematics, gait planning, Gazebo simulation, machine vision, lidar mapping, and mobile robotics development.
Manuals
Access tutorials, schematics, source code, videos, and experimental projects in the ROSPug documentation. For product assistance, contact RobotDoo customer service.
Details
The Hiwonder ROSPug 12DOF Quadruped Bionic Robot provides a ROS development platform for gait planning, SLAM, machine vision and simulation.
Jetson Nano computing, an HD wide-angle camera and TOF lidar support perception-focused robotics projects.
The articulated aluminum-alloy leg structure is designed for quadruped kinematics and gait-development experiments.
Twelve intelligent bus servos with metal gears deliver up to 30 kg-cm of joint torque at 12V.
An expandable hardware architecture brings together lidar, camera, Jetson Nano and ROS control for hands-on development.
Coordinate-based inverse kinematics tools help users develop poses, leg motion and walking gaits.
Graphical PC software supports servo control, action editing and programmable motion sequences.
Open-source Python development enables custom ROS and AI robotics experiments.
Remote terminal controls allow adjustment of movement direction, posture, body height and center of gravity.
WonderROS mobile control combines robot operation with a live camera view on compatible Android and iOS devices.
Machine-vision functions support line-following projects using the onboard camera.
Vision-recognition projects can explore color tracking, AprilTag recognition, face recognition and KCF target tracking.
Hiwonder ROSPug supports MediaPipe-based fingertip tracking, human body recognition, 3D detection, and face detection.
The ROSPug is equipped with an Oradar MS200 lidar sensor mounted on its top panel.
The ROSPug quadruped robot supports LiDAR mapping and navigation, multi-point routes, dynamic obstacle avoidance, and LiDAR tracking and guarding functions.
The ROSPug platform combines ROS MoveIt support, communication mechanisms, development tools, and application-function resources for robotics development.
The ROSPug quadruped robot uses a four-legged articulated chassis layout for bionic motion development.
The 12DOF quadruped robot model features articulated legs and a body-mounted antenna in a simulation software environment.
The ROSPug quadruped combines LiDAR, an HD wide-angle camera, Jetson Nano control, an OLED module, and magnetic servos for robotics development.
The HD wide-angle camera supports a broader view for the ROSPug quadruped robot.
The high-performance LiDAR uses an optical scanning system and customized SPAD chip for rapid, precise 360° scanning.
The Jetson Nano expansion board provides PWM and serial bus servo connections alongside GPIO, I2C, power, reset, and debugging interfaces for ROSPug robot setup.
HTS-30HS serial bus servos provide UART control, angle readback, and temperature, voltage, and position feedback for quadruped robot joints.
The Hiwonder OLED display module uses I2C communication and a 128 × 32 screen in a compact 50 × 20 mm format.
ROSPug learning topics cover ROS control, LiDAR mapping and navigation, visual processing, and deep learning functions.
The ROSPug quadruped robot measures approximately 353 mm long, 334 mm wide, and 210 mm high.
The ROSPug quadruped robot kit includes WiFi antennas, a wireless controller, charger, card reader, screwdriver, accessory bag, and user manual.
