Style: Advanced Kit Overview The AI Vision Quadruped Robot is an advanced, kitstyle quadruped designed for handson learning in artificial intelligence and robotics. Combining firstperson AI vision and a flexible leg linkage mechanism, this platform supports practical exploration of machine vision, robot kinematics, and autonomous motion within a programmable, ROSbased environment. Key benefits Learn by building and coding: The kit format provides a handson experience that reinforces theory with practical implementation. Real AI perception: Firstperson vision enables tasks such as target tracking, face detection, and line following for realistic AI testing and development. Versatile locomotion: An advanced linkage mechanism in the legs delivers stable walking and the ability to navigate uneven surfaces, expanding the range of experiments and demonstrations. Open development environment: Based on the Robot Operating System, the robot integrates with common robotics tools and machine vision libraries to support curriculum, research, and hobby projects. Extensible and : Modular design and accessible interfaces make it easy to add sensors, adjust control algorithms, and prototype behaviors. Main features AIpowered firstperson vision for interactive tasks and AI games. Advanced leg linkage for multiple gaits and terrain adaptability. Educational ROS platform for machine vision, control, and kinematics study. Kit format suitable for assembly, modification, and iterative learning. Designed for handson experimentation, algorithm testing, and demonstration. Compatibility and performance Compatible with ROS development workflows and typical machine vision toolchains. Modular architecture supports sensor and payload expansion. Engineered for repeatable motion and responsive control suitable for learning and prototyping. Use scenarios Classroom and lab instruction: Demonstrate perception, motion control, and kinematic principles in robotics courses and workshops. Hobbyist development: Assemble and program custom behaviors, experiment with AI games, and refine navigation strategies. Research and prototyping: Test machine vision algorithms, evaluate gait controllers, and iterate on autonomous behaviors in a compact quadruped platform. Who this is for Students, educators, hobbyists, and developers who want a practical, programmable platform to learn and experiment with AI vision, robot kinematics, and autonomous locomotion. What you get An advanced kitformat quadruped equipped with firstperson AI vision, a flexible leg linkage system, and a ROScompatible development environment for handson robotics learning and development.