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ROSPug Quadruped Bionic Robot Dog Powered by Jetson Nano ROS Open Source Python Programming
Product SKU: HW2019475
- 【Driven by Jetson Nano and high-voltage intelligent serial bus servos】ROSPug is a smart quadruped robot dogdruped robot driven by Jetson Nano and built on the Robot Operating System (ROS). It is equipped with 12 high-voltage strong-magnetic intelligent serial bus servos, delivering high-precision performance, rapid rotation speed, and robust torque.
- 【AI Vision, Unlimited Creativity】ROSPug is equipped with an HD wide-angle camera. It utilizes OpenCV library for efficient image processing, enabling a diverse range of AI applications, including target recognition and localization, line following, obstacle avoidance, face detection, ball shooting, color tracking and tag recognition.
- 【Various Control Methods and Live Camera Feed】You can conveniently control ROSPug through WonderROS app available for Android and iOS devices, PC software, or a wireless PS2 handle. Additionally, ROSPug provides a first-person perspective experience by transmitting the live camera feed to the app.
- 【Gait Planning, Free Adjustment】ROSPug incorporates inverse kinematics algorithm offering precise control over the touch time, lift time, and lifted height of each leg. You can easily adjust these parameters to achieve different gaits, including ripple and trot. Additionally, ROSPug provides detailed analysis of inverse kinematics, along with the source code for the inverse kinematics function.
- 【Detailed Tutorials and Professional After-sales Service】We offer an extensive collection of tutorials, along with online technical support (GMT+8) to assist you. These tutorials cover wide range of topics, including getting ready, Linux operating system, ROS, OpenCV, motion control, AI vision development and action editing.Please note that our technical support is limited to the existing learning tutorials, and we do not provide assistance for secondary development.
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Product Description
ROSPug is smart quadruped robot dog built upon Robot Operating System (ROS). It is equipped with 12 high-voltage strong-magnetic serial bus servos and integrates a range of high-performance components, including NVIDIA Jetson Nano controller, TOF Lidar, HD camera, IMU sensor, OLED display, and more. Featuring self-developed dynamic balancing kinematics algorithm, it can switch seamlessly between multiple gaits.
ROSPug supports Gazebo simulation, providing users with a valuable platform to learn and validate quadruped kinematics algorithms and path planning. Thanks to the robust computing power of its controller, ROSPug can perform tasks such as SLAM mapping navigation, path planning, dynamic obstacle avoidance, climbing, obstacle bypassing, and many other applications. We also offer solutions for expansion of ROSPug's capabilities, including deep learning, machine vision, and other development projects to meet users' specific needs.
ROSPug supports Gazebo simulation, providing users with a valuable platform to learn and validate quadruped kinematics algorithms and path planning. Thanks to the robust computing power of its controller, ROSPug can perform tasks such as SLAM mapping navigation, path planning, dynamic obstacle avoidance, climbing, obstacle bypassing, and many other applications. We also offer solutions for expansion of ROSPug's capabilities, including deep learning, machine vision, and other development projects to meet users' specific needs.
12 DOF Aluminium Alloy Structure
ROSPug employs 12 high-performance servos, distributed across its elbow, shoulder, and hip joints of each leg, closely mimicking the post of a real quadruped animal. Its entire body is crafted from aluminum alloy, with the calf joint reinforced by metal bearings, ensuring both low weight and high strength.
Powered by Jetson Nano B01
ROSPug is powered by Jetson Nano B01 and features high-performance Lidar and an HD wide-angle camera, enabling the validation of various creative AI applications.
Link Structure Enhanced Joint Efficiency
ROSPug features a link structure design that enhances the speed of the calf joint and ensures smooth motion without interference, thereby extending the leg's rotation range.
High-performance Intelligent Bus Servo
ROSPug features high-performance intelligent serial bus servos with a torque of 30KG, providing exceptional accuracy, data feedback, easy wiring, and support for a robust 12V voltage power supply.
PC Software Control
Using graphical PC software, you can effortlessly control servos and customize actions by simply dragging sliders, without the need for programming.
Support Python Programming
All intelligent Python code is open source, with detailed annotations for easy self-study.
Coordinate PC Software Control
To support users in exploring ROSPug's capabilities, we offer detailed quadruped kinematics analysis, ROS-based inverse kinematics functions, and parameter debugging software.
APP Control
Android and iOS mobile APP are available. Via the APP, you can remotely control the robot and view what the robot sees.
Line Following
ROSPug can recognize red lines, and then calculate the location of the line so as to adjust the walking gait and realize line following.
Drifting in Circle
By utilizing visual recognition to identify the circular pile and measuring the distance between itself and the pile using Lidar, the robot can adjust its moving direction to perform circular drifting.
Up and Down Stairs
Through independent vision judgment, the position of the stairs in front is identified and the scene of autonomously going up and down the stairs is realized.
Ball Shooting
ROSPug utilizes OpenCV to determine ball's position and employs a PID algorithm for real-time ball tracking. This approach allows it to fine-tune its gait to achieve accurate ball shooting, considering the distance from the target and the target's location.
ROS Robot Operating System
Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.
Gazebo Simulation
ROSPug utilizes the ROS framework and offers Gazebo simulation support. Gazebo provides a novel approach for controlling ROSPug and validating algorithms within a simulated environment, reducing the need for physical experiments and enhancing efficiency.
Product Structure
| Size | 334*211*210 mm |
| Main controller | NVIDA Jetson Nano BO1 |
| Torque of joints | 30KG.cm 12V |
| Material | Aluminum alloy structure + rubber (foot pad) |
| DOF | 12DOF |
| Weight | About 1.65KG |
| Camera pixel | 8 megapixel |
| Power | 11.1V 3500mAh 5C LiPo battery |
| App | WonderROS (Android/iOS) |
| Built-in host | NVIDA Jetson Nano BO1 |
| GPU | NVIDIA Maxwell architecture, equipped with 128 NVIDIA CUDA cores |
| CPU | Quad-core ARM Cortex-A57 MPCore processor |
| Memory | 4GB 64-bit LPDDR4 |
| Storage | 64GB SD card |
Product Parameters
Dimensional Diagram
ROSPug Packing List
| Item | Specification |
| Size | 334*211*210 mm |
| Main controller | NVIDA Jetson Nano BO1 |
| Torque of joints | 30KG.cm 12V |
| Material | Aluminum alloy structure + rubber (foot pad) |
| DOF | 12DOF |
| Weight | About 1.65KG |
| Camera pixel | 8 megapixel |
| Power | 11.1V 3500mAh 5C LiPo battery |
| App | WonderROS (Android/iOS) |
| Built-in host | NVIDA Jetson Nano BO1 |
| GPU | NVIDIA Maxwell architecture, equipped with 128 NVIDIA CUDA cores |
| CPU | Quad-core ARM Cortex-A57 MPCore processor |
| Memory | 4GB 64-bit LPDDR4 |
| Storage | 64GB SD card |
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