AI Vision Quadruped Robot Overview A programmable, interactive quadruped robot designed for handson learning in artificial intelligence and robotics. Equipped with firstperson vision and a flexible leg mechanism, it combines perception and mobility to support experiments in robot vision, kinematics, and autonomous behavior. Key benefits Accelerates learning: Provides a practical platform for understanding AI vision, control, and gait design using real hardware rather than simulations. Reduces development overhead: Comes ready for use with ROS, enabling straightforward integration with common robotic tools, sensors, and algorithms. Versatile testing platform: Firstperson vision and advanced leg connections let you develop and validate perceptiondriven behaviors and navigation strategies on a mobile robot. Core functions and features AIdriven vision: Onboard firstperson camera supports AI game modes and perception tasks such as goal tracking, face detection, and line tracking. Flexible movement: Advanced leg connection mechanism allows multiple gait patterns and adaptive motion, from basic walking to negotiating uneven terrain. ROSbased educational platform: Built to work with the Robot Operating System, making it suitable for lessons and projects in automatic vision, robot kinematics, motion planning, and control. Interactive and programmable: Designed for handson experimentation, algorithm testing, and incremental development of robotic behaviors. Compatibility and performance Software compatibility: Native support for ROS enables use of existing packages for perception, mapping, and control. Performance focus: Optimized for running visiondriven behaviors and testing locomotion strategies on real hardware, supporting rapid iteration of control and perception algorithms. Practical use scenarios Classroom and lab instruction: Use as a lab platform to teach automatic vision, kinematics, sensor integration, and ROS workflows to students. Hobbyist development and prototyping: Develop and test custom AI agents, gait controllers, and perception algorithms in an accessible, physical form factor. Demonstrations and interactive exhibits: Deploy for live demos of goal tracking, face detection, or linefollowing challenges to illustrate concepts in robotics and AI. Who this is for Students and educators seeking a handson robotics platform. Hobbyists and makers interested in building and testing AI vision and locomotion projects. Researchers and developers needing a compact, ROScompatible quadruped for prototyping perception and control algorithms. What you get A quadruped robot with firstperson vision and articulated legs. A ROScompatible system suitable for learning and development in vision, kinematics, and autonomous behaviors. This platform is intended to provide a practical, programmable environment for learning and prototyping in robotics and AI without requiring prior access to specialized hardware or custom integration work.