Photo credits: Yahboom
Dogzilla S2 Quadruped Educational Buildable Robot with Raspberry Pi 4B 4GB Yahboom
Find more information about the product below.
Combined with inverse kinematics algorithms, realizes various motion gaits. Raspberry Pi as the main controller, with additional configurations such as lidar and voice module. Through Python programming, based on Ubuntu 20.04 ROS2 system, many functions such as AI visual recognition, lidar mapping navigation and voice control can be realized.
Features:
- Can walk and twist like a real dog.
- Equipped with 6 high-precision servo motors, safe and non-toxic aluminum alloy body and wide-angle camera. S2 added lidar and voice interaction modules.
- Using the Raspberry Pi as a controller, we upgraded the Ubuntu 20.04 ROS2 system to support Python programming and RVIZ simulation.
- Support multiple remote control methods such as APP, handle, web pages, computer keyboards and APP mapping navigation.
- S1/S2 is easily completed based on ROS2 and OpenCV, with functions such as label recognition, face detection, target tracking and visual line patrol.
- S2 comes with lidar and intelligent voice module, which can realize functions such as navigation mapping, lidar avoidance and tracking, and voice control.
Developed using the ROS21 system
The predecessor of ROS2 was ROS, which is the robot operating system. ROS itself is not an operating system, but a software library and set of tools. ROS solves the communication problem of various robot components, and later, more and more robot algorithms are integrated into ROS. ROS2 inherits from ROS, which is more powerful and excellent than ROS.
Navigation by SLAM mapping (
S2 is equipped with high-performance TOF lidar, which can construct a real-time map through omnidirectional laser scanning, accurately perceive surrounding obstacles, and realize dynamic functions of avoidance, guarding, patrolling, tracking and other functions.
12 DOF kinematic joints
DOGZILLA is equipped with 12 high-performance servo servos, and multiple aluminum alloy structural parts are connected to form three joints of elbow, shoulder and hip on each leg, which truly restores the movement posture of animals quadrupeds.
Navigating SLAM mapping
The rear of DOGZILLA can be equipped with MS200 TOF lidar, through the environment, 360° laser scanning can complete the SLAM mapping navigation function.
Avoiding navigation obstacles
DOGZILA can use laser lidar, IMU and other sensors to use the cartographer for positioning and realize navigation and obstacle avoidance.
Mobile app map navigation
Control the robot dog through the mobile phone to realize SLAM mapping navigation and camera image transmission.
