solution
An open-source embodied
AI development platform for
universities and research institutions
—— // Industry Insights
Embodied AI courses lack open, unified lab platforms; research hardware is costly with closed interfaces; and algorithm verification from simulation to real robots is a long, high-barrier process.
—— // Key Advantages
Open and open-source
Robot dog and embodied robot hardware bases with open low-level interfaces and supporting toolchains for secondary development.
Multimodal perception
3D vision and six-axis force/torque sensors provide multimodal data — images, depth and force — for integrated teaching and research.
Edge large models
AI chips support low-power large-model deployment for multimodal AI experiments and real-robot algorithm verification.
Professional service support
Full-lifecycle assistance covering selection consulting, platform setup, technical training and after-sales support.
—— // Application Scenarios
Teaching & lab experiments
Covers robotics, motion control, multi-sensor fusion, AI and large models, with visual debugging tools and lab manuals for a low-barrier start.
Research platform
Supports frontier research directions including reinforcement learning, multimodal large models and sim-to-real transfer.
Algorithm verification
Rapid deployment from simulation to real robots, with standardized data collection and evaluation tools that significantly shorten algorithm iteration cycles.
// Solution Value
Lowers the barrier to teaching and research, accumulates reusable outcomes, and accelerates embodied AI talent development and frontier research.
