performance 3D vision robotic arm for AI and ROS education, development, and prototyping. Powered by Raspberry Pi and fully compatible with ROS2, this robotic arm combines precise mechanical control, depth perception, and multimodal AI to accelerate learning and research. Key benefits Ready for AI and robotics projects: integrates with Python and mainstream deep learning frameworks to support model development, testing, and deployment. Precise manipulation in complex scenes: six degree of freedom motion driven by six 25KG intelligent serial bus servos delivers torque and repeatable positioning for reliable grasping and manipulation. True 3D perception: integrated RGBD depth camera captures color, position, and depth data for RGB plus depth fusion, enabling accurate object detection and spatial grasping. Multimodal interaction and embodied intelligence: builtin AI voice box and support for multimodal large models with ChatGPT enable natural, conversational control and reasoning combined with perception and action. ROS2 and Raspberry Pi compatibility: designed for ROS2 workflows and Raspberry Pi platforms, making it easy to integrate into existing robotic labs, classrooms, or research setups. Core features Mechanical: 6 degree of freedom arm with six 25KG intelligent serial bus servos for strong torque and precise joint control. Vision: performance RGBD depth camera providing synchronized color and depth streams for 3D scene understanding and point cloud processing. Compute and software: Raspberry Pi based control with full ROS2 compatibility, Python support, and integration with mainstream deep learning frameworks. Interaction hardware: builtin AI voice box for natural voice interaction and multimodal input. Functionality: supports object tracking, intelligent sorting, scene understanding, form 3D grabbing, and multimodal humanrobot interaction. How it solves common challenges Reduces development time by providing offtheshelf hardware and ROS2ready software interfaces for perception, planning, and control. Improves success rate for complex picks and placements through depthaware grasping and six axis control. Enables richer humanrobot workflows by combining vision, reasoning, and conversational interaction in one system. Scales from classroom labs to advanced prototyping thanks to Python and deep learning framework support. Practical applications and scenarios Robotics and AI education: use in university or training courses to teach ROS2, motion planning, perception pipelines, and integration with neural networks. Automated sorting and assembly: deploy the arm with RGBD perception and object tracking to pick, sort, and place items on conveyor lines or workbenches. Research in embodied intelligence: combine 3D vision and large multimodal models to study perceptiondriven decision making and natural language interaction in physical tasks. Technical highlights Six 25KG intelligent serial bus servos providing torque and precise joint control for 6DOF motion. RGBD depth camera for RGB plus depth fusion detection and spatial grasping. Raspberry Pi based control with ROS2 compatibility and Python support for rapid development. Builtin AI voice box and support for multimodal large models including ChatGPT for conversational and reasoning capabilities. What to expect in a typical setup Outofthebox ROS2 nodes and Python examples to get started with vision, motion control, and voice interaction. Sample projects for object tracking, pick and place, intelligent sorting, and scene understanding that demonstrate endtoend integration. Ability to extend perception and decision modules using common deep learning frameworks and pretrained models. This robotic arm is suitable for educators, researchers, and developers who need a compact, ROS2compatible platform that combines strong mechanical performance, 3D vision, and multimodal AI interaction for realworld robotics experiments and projects.