RAI-P4
Embodied AI Task Planning Training Platform
From Learning to Practice, Bringing Intelligence into Action
RAI-P4 is an embodied AI training platform that deeply integrates artificial intelligence and robotics technologies.
The system integrates AI voice, AI vision, a 4-DOF robotic arm, multiple sensors, and an AI embedded control board to provide a real-robot environment for implementing and debugging intelligent algorithms, seamlessly bridging theory and practice.
This platform provides diverse experimental scenarios based on a three-step process: embodied task planning, perception and decision-making, and action execution.
It covers a broad set of capabilities, including voice interaction, semantic task understanding, vision-based pan-tilt tracking, vision-guided robotic arm manipulation, kinematic trajectory control, and AI vision-based fruit and vegetable detection.
■ Applications & Use Cases
AI & Robotics Education
Large Model Applications
Machine Learning
Machine Vision
ROS
Embedded Development
Sensing and Control
System Integration
Key Features
Task Planning Flowchart
■ AI and Robotics System Integration
Built around an intelligent robotic arm, the system integrates an AI voice interface, AI vision perception, and an AI embedded control board.
In addition, integrating devices such as a color recognition sensor and an attitude sensor, it enables educational training that covers the full pipeline from perception and decision-making to execution.
■ One-Stop Implementation
Fully calibrated at shipment, enabling immediate operation without additional equipment.
Featuring a compact 60 cm × 60 cm footprint, the system is designed for flexible use in laboratories and mobile classroom settings.
■ Step-by-Step Robotic Arm Learning Platform
Built on a 4-DOF robotic arm platform, with support for expansion to 6 DOF.
Students progressively develop system design skills through kinematics, control, simulation, and ROS-based practice.
Visual Manipulation and Kinematics Integration Training
Specifications
■ Basic Specifications
Robot Arm
4-DOF Serial Arm with 1-DOF Gripper
Arm Length
260mm
Payload Capacity
300g
Gimbal Module
2-DOF Gimbal with High-Resolution Camera Module
Monocular Camera Module
720P / 2 Megapixels
Display Module
13 inch
RDK X5 Board
ROS & Ubuntu (Pre-installed) / 10 TOPS Performance
Microphone and Speaker Module
For Voice Interaction
Wearable Gesture Module
Equipped with a gyroscope sensor, with a wearable strap for mounting.
Keyboard and Mouse
Logitech Wireless Bluetooth Keyboard and Mouse
Controller Module
Wireless Controller
■ Software Configuration
Ubuntu, ROS2, and other essential software are pre-installed, allowing immediate development and demonstration right after unboxing.
Compatible with major frameworks including OpenCV, YOLO, and LLM SDKs, making it suitable for a wide range of applications from education to research.
■ Sensor Configuration
Integrates a comprehensive set of feedback sensors for AI voice, visual perception, and robotic motion, enabling multimodal inputs for embodied task planning.
Microphone Array for AI Voice Interface
Pan-Tilt Camera Module for Vision
Color Recognition Sensor
Attitude Sensor
Object Recognition and Distance Sensing Expansion Interface
■ Controller Configuration
Built with an AI embedded control board and open I/O interfaces, enabling large-scale model inference and execution of vision algorithms.
It also enables robotic arm actuation and integration with various external devices, achieving unified hardware–software coordinated control.
Experiment Items
Large-Scale Model Integration and Application
■ Automatic Speech Recognition (ASR)
■ Natural Language Understanding (NLU) / LLM
■ Text-to-Speech (TTS)
■ Calculator Interaction via Function Calling
■ Music Playback Interaction via Function Calling
■ Task Planning for Cloud Vision System via Function Calling
■ Task Planning for Robot Vision Systems via Function Calling
Robot Vision and Machine Learning
■ Color Recognition
■ Shape Recognition
■ YOLO Deployment
■ Face Detection
■ Face Tracking and Workspace Detection
■ Vision-Based Workpiece Picking
Fundamentals of Robotics
■ Kinematics-Based Fixed-Point Motion for Robotic Arms
■ Kinematics-Based Linear Interpolation for Robotic Arms
■ Kinematics-Based Circular Interpolation for Robotic Arms
ROS
■ ROS Fundamentals
■ Keyboard-Based Robot Arm Control
■ Robot Arm Motion Planning with MoveIt!
■ Vision Detection Workstation
Sensor Detection and Control
■ Pose Detection
■ Robot Arm Control via Attitude Control
■ Vision Detection
■ Vision Tracking
■ Vision-Guided Manipulation
Embedded Systems Development and Applications
■ Linux Basics
■ Serial Communication Experiment
■ Socket Communication Experiment
■ Multithreading Experiment
■ GUI Design Experiment