HIWONDER ROSPug Quadruped Bionic Robot Dog with AI Vision Powered by Jetson Nano ROS Open Source Python Programming SLAM Mapping and Navigation for Adults
ROSPug is a smart quadruped robot dog built upon the Robot Operating System (ROS). It integrates 12 high-voltage strong-magnetic serial bus servos and incorporates a suite of high-performance components including the Jetson Nano controller, TOF Lidar, HD camera, IMU sensor, OLED display, and other advanced sensors to enable sophisticated autonomous navigation and AI development.

Powered by the advanced Jetson Nano platform, ROSPug features high-performance Lidar and an HD wide-angle camera. These enable the robot to validate various innovative AI applications, pushing the boundaries of robotic vision and environmental interaction.

Equipped with high-performance intelligent serial bus servos delivering 30KG torque, ROSPug achieves exceptional accuracy and data feedback. The design offers simple wiring and accommodates a robust 12V power supply, ensuring reliable and precise movement control.

Link Structure More Efficiency
Enhances the speed of the calf joint and ensures smooth motion without interference, effectively extending the leg's rotation range for more agile robotic movements.

Coordinate PC Software Control
Supports users with detailed quadruped kinematics analysis and ROS-based inverse kinematics functions, empowering precise control and customization through PC software.

APP Control
Available Android and iOS mobile apps allow remote control of the robot, along with live video streaming from the robot’s perspective, enhancing user interaction and monitoring.

Gazebo Simulation
Leverages the ROS framework with Gazebo simulation support, offering a powerful method to control and test ROSPug in simulated environments for development and learning.

Front view of the ROSPug robot dog showcasing its sturdy quadruped design. The robot is optimized for stability and maneuverability with powerful servos and integrated sensors.

Side profile capturing the dynamic movement capabilities of the ROSPug robot dog. Designed to execute complex gait patterns, it is ideal for testing AI algorithms in robotics.

Demonstration of the walking ability of ROSPug. Its intelligent servos and sensor fusion enable balanced locomotion over various terrains with real-time reactive control.

Built-in high-performance TOF Lidar sensor supports Lidar mapping and navigation functions, enabling the robot to build 2D maps and navigate autonomously while avoiding obstacles.

Visual representation of the 2D Lidar mapping feature for ROSPug, providing real-time environmental mapping and spatial awareness utilized in autonomous navigation.

ROSPug in action demonstrating its versatile quadruped movement and real-time response powered by its onboard AI and sensor integrations.

ROS2-based smart robot dog equipped with AI vision and advanced programming capabilities, ideal for developers and robotics enthusiasts exploring open-source robot operating systems.

Navigation capabilities featuring simultaneous localization and mapping (SLAM) enable ROSPug to explore and understand its surroundings with high precision.

Advanced obstacle avoidance improves operational safety, allowing ROSPug to maneuver complex environments autonomously without collisions.

The tracking and guarding capabilities allow ROSPug to follow targets and monitor environments effectively, enhancing its utility in security and surveillance applications.

ROSPug fully operational, combining all its AI vision, navigation, and movement systems to perform intelligent tasks seamlessly in real-world environments.