As AI and embodied intelligence evolve rapidly, university curricula face two core challenges: no standardized cutting-edge hardware platform (equipment disconnected from industry) and no systematic course resources matched to hardware ("equipment without courses, courses without labs"). Guangzhou Huashang College's School of AI partnered with WWNT Robotics on a "hardware + curriculum + labs" path to close the theory-to-practice loop.
Background: two teaching pain points
Pain 1: hardware disconnect
No standardized cutting-edge hardware platform; equipment disconnected from industry
Pain 2: missing courses
No systematic course resources matched to hardware
The School of AI reached a strategic partnership with WWNT Robotics around"hardware + curriculum + labs" three-in-onepath, closing the theory-to-practice talent loop.
Hardware Base (I): AI Training Kit
Multi-functional training platform · AI machine-vision training kit
Core compute module
Raspberry Pi 5 edge terminal
Integrated modules
AI vision/voice modules + multi-sensor array
Applicable majors
CS, electronic information, automation, robotics, software engineering, and more (10+ majors)
Solution
"hardware + software + curriculum + labs" four-in-one teaching solution
Core specs
| Category | Value |
|---|---|
| Core compute module | Raspberry Pi 5 |
| Cross-disciplinary core courses | 6 |
| Disciplinary lab projects | 36+ |
| Lab projects | 100+ |
Four product features
Modular hardware
Magnetic stacking, six plug-and-play modules for flexible combination and quick swapping
Edge AI computing
Linux/Ubuntu with terminal verification and multi-student parallel model use
AI vision + voice dual channel
Driver-free camera + USB mic for detection, face recognition, and voice interaction
Four-in-one curriculum
Full hardware + software + curriculum + labs, ready out of the box
Companion Curriculum (6 cross-disciplinary courses)
Hardware Base (II): Embodied Robot
Three-tier product matrix
| Tier | Name | DOF | Core specs | Use case |
|---|---|---|---|---|
| Entry | Mini Pi | 12 DOF | 52cm / 7kg / 15kg payload / 16Nm / HTM-5047 | Basic teaching and research |
| Mid | Mini Pi+ | 22 DOF | 65cm / 10kg / 10kg / dual-arm / open modular / RoboCup | Mid development and teaching |
| High | Mini Hi | 25 DOF | 82cm / 16kg / 20kg / dual-arm + head vision / full-size humanoid | Deep research and advanced courses |
Core technology
Hardware layer
Self-developed precision joints + HPM5361, FDCAN/CAN, four control modes, 19-bit precision, 1000+Hz
Software layer
Full URDF + motor SDK + simulation, lowering the secondary development barrier
Companion curriculum
| Course category | Core content |
|---|---|
| Product cognition | Structure, joint principles, assembly |
| Hardware & mechatronic control | Motor drive, sensor acquisition, kinematics, PID |
| ROS2 development | ROS2 nodes, topic/service/action, Gazebo |
| Data engineering | Data acquisition, labeling, datasets, visualization |
| Navigation & manipulation | SLAM, path planning, grasping, dual-arm coordination |
| AI algorithms | RL, imitation learning, visual servoing, whole-body control |
| Integrated engineering | Project design, competition tasks, integration and debugging |
Four-in-one Deep Cooperation Framework
This partnership goes beyond the traditional "university buys, enterprise delivers" model, establishing"hardware + curriculum + faculty training + lab resources" four-in-onedeep cooperation framework:
AI training kit track
6 core courses and 36 lab projects in the regular curriculum, linking theory and practice
Embodied robot track
Three robots matched to grades, forming a progressive training path
Faculty training
Full faculty training and support for proficient teaching
Lab resources
Full delivery of lab guides, PPTs, and case code libraries
Future Outlook
-
Continuously improve curricula and update lab content with industry trends
-
Expand coverage to more related majors
-
Promote joint innovation and competition incubation
-
Guided by "hardware empowers education, courses connect industry," build a Greater Bay Area AI and embodied intelligence talent benchmark and advance new-engineering reform
"With hardware as the foundation and courses as the enabler, now is the time for industry-education integration. WWNT Robotics will keep deepening AI education and embodied intelligence, helping universities bridge theory and practice and cultivate hands-on, innovative engineers for China's AI industry."