Elephant Robotics Portable Artificial Intelligence Educational Workstation is a highly integrated, ready‑to‑use teaching platform with a modular quick‑plug design that combines portability with strong scalability. It comes with a built‑in Ubuntu system, supports ROS1 / ROS2, and integrates multiple technologies including machine vision, sensor control, and collaborative robotics, covering a wide range of interdisciplinary knowledge areas. Equipped with five major visual recognition algorithms and eight core learning points, the workstation supports interactive methods such as one‑click startup and drag‑and‑teach, enabling students to quickly engage in AI practice even without programming experience. Key features Highly integrated, ready‑to‑use platform: Built‑in Ubuntu system, preconfigured for AI and robotics teaching. Modular quick‑plug design: Portable structure with strong scalability for different teaching scenarios. ROS1 / ROS2 support: Suitable for modern robotics and research‑oriented education. Multi‑technology integration: Machine vision, sensor control, and collaborative robotics in one system. Five visual recognition algorithms: Supports multiple recognition tasks for hands‑on AI learning. Eight core learning points: Covers key concepts from perception to application. One‑click startup and drag‑and‑teach: Allows students to operate and learn AI concepts without coding. Compatible with multiple robotic arms and end effectors: Designed to adapt to different hardware configurations for teaching and training. Five major visual recognition algorithms The workstation is equipped with five visual recognition algorithms and comes with: Four colors of wooden blocks Various card shapes These resources allow students to: Explore the relationship between 2D and 3D worlds using QR code recognition Learn image segmentation and feature extraction through feature point recognition Deepen their understanding of YOLOv5‑based object detection Combine different robotic accessories to support a wide range of application scenarios Compatible robotic arms and end effectors The workstation is compatible with six types of robotic arms: myCobot 280 (M5Stack version) myCobot 280 (Raspberry Pi version) mechArm 270 (M5Stack version) mechArm 270 (Raspberry Pi version) myPalletizer 260 (M5Stack version) myPalletizer 260 (Raspberry Pi version) It also supports four types of end effectors, enabling diverse application setups in teaching and training. (You can omit the specific arm names on your product page if you prefer a more generic description.) Visualization software and operation Supports visualization software operation Equipped with integrated keyboard, mouse, and joystick Enables quick startup of the artificial intelligence teaching environment This makes it suitable for classroom use, workshops, and training sessions where fast deployment and intuitive interaction are important. Standardized educational curriculum support Following the educational philosophy of “theory as the foundation + practice as empowerment”, the workstation: Deeply covers core technical modules such as: Machine vision cognition Image analysis and transformation Object recognition Integrates cutting‑edge algorithms such as YOLOv5 for object detection Includes practical projects involving: Shape recognition Color recognition QR code recognition Over a 15‑week cycle, it systematically builds a complete machine vision technology system from theory to application, helping learners progressively enhance their technical capabilities.
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