Scenario: a top university research team needed a quadruped platform that could perceive a 3D environment and navigate it autonomously for embodied AI research. Solution: an X30 Pro-class quadruped running an embodied navigation model (VLA-based) for autonomous patrol and mapping. Result: the robot perceives its surroundings, builds 3D scene understanding and completes autonomous navigation tasks in complex campus environments.
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Scenario: a large campus needed continuous, consistent security patrol beyond fixed cameras and manual rounds. Solution: a self-developed quadruped inspection system with a dual-spectrum gimbal, behaviour-analysis algorithms and autonomous patrol route planning. Result: abnormal behaviour is detected and alarmed in time, with 360-degree coverage forming a closed campus safety protection system.
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Scenario: the university set out to build an embodied perception technology laboratory linking teaching with industry scenarios. Solution: a joint laboratory built around perception, intelligent collaboration and humanoid + AI sensor research. Result: a path from perception to industry application, supporting discipline development and industry-education integration.
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Scenario: terminal baggage transfer depended on heavy manual labour with unstable staffing at peaks. Solution: the 80 / 10 / 10 human-robot collaboration model - DawnAnt robots for standard bags, a wheeled humanoid for irregular bags, staff supervising - on the VTFLA architecture with multi-robot scheduling. Result: 7x24 stable transfer rhythm, full-process digital traceability, and people moved from heavy handling to supervision.
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Scenario: universities building intelligent robot teaching and research capacity. Deployments include: intelligent robot teaching research (Shanghai University), intelligent quadruped robot work (Xi'an Jiaotong University), an innovation & application joint laboratory (Zhejiang University of Technology) and an intelligent manufacturing training base (Huzhou Vocational & Technical College).
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