Style: Advanced Kit Short overview The AI Vision Quadruped Robot is an advanced kit that combines firstperson AI vision and a multilink leg mechanism to create a handson learning and development platform for robotics. Designed for hobbyists, students, and developers, it offers a practical environment to study machine vision, robot kinematics, and locomotion control. Key benefits Learn by doing: A ROS based educational platform that supports realworld experiments in machine vision, motion control, and algorithm development. Practical AI vision: Onboard firstperson vision enables applications such as target tracking, face detection, and line following, making vision algorithms easy to test and iterate. Versatile locomotion: Advanced linkage mechanism in the legs produces a range of movements from basic walking to negotiating uneven terrain and obstacles. Kit format for : Delivered as an advanced kit for assembly and modification, suitable for users who want to build, program, and upgrade their robot. Clear development workflow: ROS compatibility lets you integrate standard tools and workflows for perception, control, and simulation. Core functions and attributes Function: Realtime AI vision for perception tasks and flexible legged locomotion for movement and traversal. Compatibility: Built around the Robot Operating System for learning and development with common robotics tools and packages. Performance: Precise leg linkage and coordinated control enable stable gaits and responsive visiondriven behaviors. Form factor: Advanced kit intended for handson assembly, tuning, and extension by hobbyists and learners. Materials and construction: Delivered as a kit with mechanical linkage components and electronic modules optimized for modular assembly and upgrades. Use scenarios Educational lab: Use the robot as a lab exercise for courses on machine vision, robot kinematics, and control systems. Students can implement perception pipelines, tune gait parameters, and demonstrate visionbased tasks. Hobbyist development: Assemble the kit, program custom behaviors, and run interactive AI games such as target tracking, face detection routines, and line following challenges. Prototype and testing: Validate perception and locomotion algorithms by testing visiondriven behaviors and terrain negotiation in realworld conditions. The ROS based platform makes it straightforward to integrate sensors and software modules. What you will gain A practical, handson platform to deepen understanding of AI vision and quadruped locomotion. A flexible, ROS compatible kit that supports experimentation, , and progressive learning. Clear examples of vision tasks and locomotion control that can be extended into research projects or builds. This Advanced Kit is suitable for hobbyists and learners seeking a structured, interactive way to explore AI driven perception and legged robotics without sacrificing the ability to and expand.