From Lab to Classroom, Competition to Research
fromlabstoclassrooms, fromcompetitionstoto research— six product lines empowering university AI education and industry-education-research in one stop
From lab to classroom — one-stop empowerment of university AI education
Build standardized robotics labs on OpenArm, Mini Pi, and Panthera-HT, covering motion control, vision grasping, ROS/ROS2 development, and multi-robot coordination.
A complete robotics AI curriculum from AI fundamentals and deep learning to LLM robot applications, supporting blended learning.
Plug-and-play local inference training kits with no complex setup, ensuring data security from classroom to enterprise practice.
Matched to wwntAI products, including full training-kit coverage
| Tier | Product Matrix | Use case | Investment |
|---|---|---|---|
| Basic Teaching Plan | Lightweight OpenArm arm + AI embedded training kit + Basic AI course pack | University AI/robotics electives, vocational intro, freshman labs | Low |
| Standard Professional Plan | Full OpenArm hardware + Portable AI training kit + Complete standard AI curriculum | Robotics/AI lab setup, course design, competition training | Medium |
| Flagship Industry-Education Plan | Full Mini Pi + Panthera-HT teaching robots + Full AI training equipment + Full-stack course platform + School-enterprise brand co-building | New-engineering upgrades, featured programs, joint labs, capstone platforms | High |
Built on embodied robot hardware, combining self-developed curricula, motion tools, competition support, and industrial resources to build differentiated academic strengths.
Industry integration
Teaching deployment
Research innovation
Competition breakthroughs
Outcome commercialization
| Pain point | Symptom | Our solution |
|---|---|---|
| Teaching-industry disconnect | No standard embodied AI curriculum, idle training equipment, faculty lacking hands-on experience | Full-stack curriculum + tiered faculty training for ready-to-teach deployment |
| Hard research commercialization | Algorithms/prototypes hard to mass-produce, no market channel | Hardware + engineering + sales channels to accelerate commercialization |
| Weak competition strength | No targeted guidance for Class-A competitions, no motion/algorithm support | Full competition support — plans, technical debugging, winning cases |
| Unclear program distinction | Generic equipment lacks differentiation and showcase projects | Customized labs + featured projects to build model teaching platforms |
Flexible and negotiable, from basic labs to deep research commercialization, advancing in stages
Co-build a university-owned robot brand — the university provides branding, training space, faculty, and student teams; the enterprise provides arm hardware, core technology, production lines, and market operations.
Focused on teaching and training, quickly filling AI/robotics lab gaps to build a model lab.
Centered on research and talent, co-build an embodied intelligence research institute focused on R&D and commercialization.
Bring a real robot production line to campus, driven by real orders, so faculty and students complete assembly, debugging, and testing — integrating teaching, training, and production.
Centered on research commercialization, jointly advancing faculty/student outcomes through engineering, productization, and marketization to close the loop.
Beyond equipment procurement — full-chain continuous empowerment
Senior hardware/software engineers plus university experts, 7×12 support and long-term maintenance.
Modular hardware for upgrades, regular firmware, SDK, case, and course updates.
Support teaching and research awards with brand endorsement and joint publicity.
Flexibly adjusted to university needs, from basic labs to deep research, in stages.
Partnership updates and progress
Providing HCRL with Mini Pi Plus / Plus Pro platforms; hardware expected in Austin in late September. Prof. Sentis confirmed a visit to the IROS 2026 booth.
Six core courses and 36 lab projects in the regular curriculum, with three robots matched to grades.
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Building a full digital course system for optoelectronics and AI graduates with Yanshu AI.
Both sides finalized an integrated plan for the full AI hardware line. VP Lv Junmin said: "Deepening industry-education integration is central to our new-engineering programs."
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Deep exchanges with Jiaying University's School of Computer Science, reaching four consensuses on labs, curriculum, faculty, and incubation.
Live demos of the AI kit and humanoid led to four cooperation areas: labs, courses, faculty, and competition support.
Deep partnerships with multiple universities and international research institutions, continually expanding.
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Whether building labs, pursuing research, or commercializing outcomes, we offer tailored partnership solutions.