Advanced Kit for handson robotics learning and AI experimentation What this kit does Firstperson vision and AI capabilities for interactive tasks such as target tracking, face detection, and line following. The vision system streams a robot perspective for developing and testing perception algorithms in real time. Legged locomotion with an advanced linkage mechanism that supports a wide range of movements, from straightforward walking to navigating uneven or complex terrain. Educational development platform built on ROS (robot operating system) for learning machine vision, robot kinematics, motion planning, and integration with standard robotics tools. Key benefits and why you need it Learn by doing: The Advanced Kit is designed for handson education and prototyping, letting students and developers implement and test AI vision algorithms and motion controllers in a single platform. Bridge theory and practice: Use real hardware to validate ROSbased code, sensor processing, and kinematic models, reducing the gap between simulation and realworld performance. Accelerate experimentation: Integrated firstperson vision and flexible leg mechanics let you iterate on perception and locomotion tasks without building a custom robot from scratch. How it solves common problems Reduces setup time by providing a ready kit built around ROS, so you can focus on algorithm development instead of lowlevel integration. Delivers immediate testability for vision tasks like tracking and detection, simplifying data collection and debugging with a live robot perspective. Offers mechanical flexibility to evaluate motion strategies on real terrain, avoiding overreliance on simulation only. Standout features Function: Firstperson vision plus AI gameready capabilities for perception tasks and autonomous behaviors. Compatibility: Native ROS support for seamless use with common robotics workflows and tools. Integrates with standard sensors and ROS packages for perception and control. Kit format: Supplied as an advanced kit suitable for assembly and modification, ideal for labs, courses, and research projects. Performance: Designed for responsive vision processing and agile legged movement, enabling practical testing of kinematics and control approaches. Materials and construction: Delivered with mechanical and electronic components assembled during the kit build to support durable classroom and lab use. Practical use scenarios University robotics course: Students implement ROS nodes for camera processing, face detection, and closedloop control, then validate results on the physical robot. Research and prototyping: Rapidly test kinematic models and locomotion controllers in real environments, using firstperson vision for perceptiondriven behaviors. Robotics club and competitions: Practice AI games such as target tracking and line following, and refine strategies using a tunable, legged platform. Includes Advanced Kit style robot with firstperson vision and legged linkage mechanism ROSbased software platform for development and testing Who this is for Educators, students, researchers, and hobbyists who need a ROScompatible, visionenabled legged robot for handson learning and prototyping.