Style: Advanced Kit Overview The AI Vision Quadruped Robot is an advanced, interactive quadruped platform designed for handson learning and development in robotics and artificial intelligence. Combining firstperson vision with articulated leg mechanics and a ROS based software stack, this kit supports exploration of machine vision, robot kinematics, and autonomous behaviors. Key benefits Practical learning: Provides a realworld platform for applying ROS concepts, machine vision algorithms, and motion control techniques. Immediate experimentation: Firstperson vision and builtin AI tasks let users test target tracking, face detection, and line following without starting from scratch. Versatile movement: Advanced leg linkage enables a wide range of gaits and improved mobility over uneven surfaces for realistic testing scenarios. Development and prototyping: Suitable for hobbyists, students, and developers who need a programmable, observable robot for algorithm development and demonstration. Core features AI powered vision: Onboard firstperson camera supports vision based behaviors such as target tracking, face detection, and line following. Flexible locomotion: Articulated leg linkage provides multiple gait patterns, from simple walking to navigation across more complex terrain. ROS based educational platform: Software environment is compatible with ROS, facilitating use of existing ROS packages and tools for perception, control, and simulation. Interactive modes: Predefined AI game modes allow immediate interaction while providing a foundation for custom behavior programming. Compatibility and functions Software compatibility: Designed to integrate with ROS based workflows for perception, planning, and control development. Functionality: Vision driven tasks, legged locomotion control, sensor feedback, and programmable behaviors allow use as both an educational tool and a prototyping platform. Intended users: Hobbyists, students, and researchers interested in machine vision, robot kinematics, and autonomous legged systems. Practical applications Classroom and lab exercises: Use the robot to demonstrate ROS nodes, sensor integration, vision processing pipelines, and inverse kinematics in a handson setting. Algorithm development and testing: Prototype and validate navigation, object tracking, and detection algorithms in real world conditions with an articulated quadruped. Interactive demonstrations and workshops: Run AI game scenarios such as face detection and line following for public demonstrations, training sessions, or outreach events. What it delivers A programmable quadruped platform with firstperson vision and articulated legs suitable for education and development. A ROS friendly environment to accelerate learning and integrate community packages for perception and control. A bridge between theoretical concepts and practical implementation in AI and robotics. Note This description reflects the product functions and capabilities provided with the Advanced Kit. Technical integration and performance will depend on the software configuration, user developed code, and the specific test environment.