- Using Raspberry Pi as the controller, we have upgraded the ROS2 system to support Python programming and RVIZ simulation.
- Can walk and twist like a real dog.
- Note: This version kit is DOGZILLA S2, which includes a lidar, but does not include the Raspberry Pi 5 motherboard
DOGZILLA is a visual AI robot dog with 12 degrees of freedom, mainly composed of 6 servos, aluminum alloy brackets, and a camera. It can flexibly complete a series of bionic actions and achieve omni-directional movement and six dimensional attitude control. DOGZILLA is equipped with IMU and servo angle sensors, which can provide real-time feedback on its own posture and joint angles. With inverse kinematics algorithms, achieves various motion gaits. Raspberry Pi as its main controller, with additional configurations such as lidar and voice module. Through Python programming, based on the ROS2 system, many functions such as AI visual recognition, lidar mapping navigation, and voice control can be achieved.
With the New upgrade, DOGZILLA has introduced AI large language model capabilities, giving the robot dog stronger understanding and interactivity. Based on the AI large model, DOGZILLA can not only perform complex semantic speech recognition and natural language dialogue, but also intelligently analyze visual scenes, plan paths, understand task instructions, and support more intelligent and anthropomorphic behavioral decisions. This upgrade has greatly improved the application depth and scalability of robot dogs in education and scientific research, artificial intelligence experiments, service robots and other fields, helping users embark on a new journey of exploration of embodied intelligence.
1.Can walk and twist like a real dog.
2.Equipped with 12PCS high-precision servo motors, a safe and non-toxic aluminum alloy body, and a wide-angle camera. S2 has added lidar and voice interaction modules.
3.Using Raspberry Pi as the controller, we have upgraded the ROS2 system to support Python programming and RVIZ simulation.
4.Support multiple remote control methods such as APP, handle, web pages, computer keyboards, and APP mapping navigation.
5.S1/S2 is easily completed based on ROS2 and OpenCV, with functions such as label recognition, face detection, target tracking, and visual line patrol.
6.S2 comes with a lidar and intelligent voice module, which can achieve functions such as mapping navigation, lidar avoiding and following, and voice control.
7.Based on the AI larger model and AI voice recognition module, DOGZILLA can understands commands, and achieve related functions such as voice dialogue, scene perception, embodied intelligence, etc.
