Professional supplier of AI and robot teaching equipment
Professional supplier of AI and robot teaching equipment
Available on backorder
The Embodied AI Robotics Development Platform is an open platform for embodied AI education and research. Integrating AI computing, collaborative robotics, active vision, voice interaction, and multimodal sensing, it provides a complete environment for perception, decision-making, and task execution. With pre-installed AI frameworks, open-source LLMs, and fully open hardware and software interfaces, the platform supports hands-on learning, algorithm development, and rapid prototyping in robotics and artificial intelligence.
(1)Tactile Pressure Sensor Data Acquisition & Basic Calibration
(2)6-Axis IMU Data Acquisition & Attitude Calibration
(3)Proximity Sensor Data Acquisition & Threshold Configuration
(4)RGB & Depth Stream Data Acquisition with a Depth Camera
(5)Voice Interaction System Setup & Wake-Up Configuration
(6)Multisensor Data Fusion
(1)AI Agent Deployment & Setup
(2)Image Data Acquisition, Annotation & Model Training
(3)Basic Sensor Data Processing & Decision-Making
(4)Basic Gesture Recognition Model Deployment & Testing
(5)Simple Voice Command Parsing & Decision-Making
(1)Collaborative Robot Hardware Familiarization & Teach Control
(2)Point-to-Point (PTP) Robot Motion Control
(3)Dexterous Hand Operation & Control
(4)Pan-Tilt Unit Operation & Control
(5)Basic Robot Pick-and-Place Operation
(6)Robot Arm and Dexterous Hand Coordination
(7)Robot Arm Coordination with Vision and Voice
(8)Dexterous Hand Coordination with Vision and Voice
(1)RGB Image-Based Object Recognition & Grasping
(2)Depth Point Cloud-Based Object Pose Analysis & Recognition
(3)Gesture Recognition-Based Control Decision-Making
(4)Complex Decision-Making Based on Voice Commands
(5)Force Feedback-Based Adaptive Grasping Decision-Making
(6)Obstacle Avoidance Sensor-Based Path Control Decision-Making
(7)Attitude Perception-Based Robot Motion Decision-Making
(8)Vision–Voice Fusion Perception & Decision-Making
(9)Vision–Gesture Fusion Perception & Decision-Making
(10)Multisensor Data Fusion & Decision-Making
(1)AI Agent-Based Control Execution
(2)Gesture Recognition-Based Decision-Making and Control Execution
(3)Voice Command-Based Decision-Making and Control Execution
(4)Force Feedback-Based Adaptive Object Grasping
(5)Multi-Action Sequence Planning and Execution
(6)Dexterous Hand Fine Motion Decision-Making and Execution
(7)Pan-Tilt Unit and Robot Arm Decision–Execution Integration
(8)Voice Command-Based Robot Task Execution with Sensor Feedback
(9)Multi-Task Priority Decision-Making and Execution Scheduling
(10)Execution Error Correction under Autonomous Decision Commands
Contact us if you need a custom course.
It is designed for embodied AI education, robotics training, and research development. The platform helps students and researchers understand the complete Perception–Decision–Action workflow through real robotic hardware, vision, voice interaction, sensors, and local AI models.
This platform is more robotics-oriented. It uses a 3 kg collaborative robot, a five-finger dexterous hand, active depth vision, and open robot control interfaces, making it more suitable for robot control, manipulation, hand-eye coordination, and research-level development.
It supports courses such as Embodied AI, Intelligent Robotics, Robot Control, Computer Vision, Natural Language Processing, Machine Learning, Sensor Technology, Embedded Control, ROS Robot Applications, and Large Language Model Applications.
The platform integrates a collaborative robot arm, five-finger dexterous hand, active depth vision system, voice interaction module, multimodal sensor kit, AI computing unit, software development platform, and supporting display, keyboard, and mouse.
Yes. The platform supports local deployment of Qwen, DeepSeek, and other open-source LLMs. It can perform voice command parsing, intent understanding, gesture intent recognition, and embodied AI task execution without relying on cloud services.
Yes. The robot supports open interfaces, SDK development, and source code access for motion control and kinematics. Users can develop custom control algorithms, integrate new sensors, and build advanced robot applications using Python, C++, ROS, and ROS2.
Students can conduct experiments in robot teach control, PTP motion control, dexterous hand operation, active vision control, hand-eye calibration, object recognition, gesture control, voice control, sensor fusion, path planning, adaptive grasping, and Agent-based task execution.
Yes. The platform is suitable for research in robotic manipulation, multimodal perception, human-robot interaction, visual servoing, sensor fusion, embodied AI agents, LLM-based robot control, reinforcement learning, and autonomous task execution.
Compared with large humanoid robots, the platform is more compact, cost-effective, easier to maintain, and easier to deploy in batches. It keeps the core embodied AI workflow while reducing hardware complexity and classroom management cost.
Yes. The platform includes training resources for multimodal perception, intelligent decision-making, collaborative control, perception-decision integration, and decision-execution integration. It also includes comprehensive application cases and technical documentation.
Our engineers can help you choose the right platform, customize laboratory solutions, and provide technical support for your education and research projects.
✔ Product Selection
✔ Laboratory Planning
✔ Curriculum Support
✔ Global Technical Service
