ND-3: AI 기반 건설 진행 상황 모니터링

• Background Problem: Construction sites often record material movement and delivery records manually, leading to "late" recognition of logistics bottlenecks/schedule delays. Labor shortages and safety issues are also increasing.

• Limitations of Existing Methods: (1) Record omissions/distortions (2) Delay in calculating process rates due to lack of data (3) Limited ROI because simple automation of transport is weakly linked to "process management."

• CES Introduction Criteria: The robot autonomously transports materials, uploads "all delivery" data performed, and Project Progress Monitoring AI evaluates schedule/plan conformity based on this data. • Presents a structure that loads and moves loads inside the frame with a quadruped "pass-through" chassis (considering rough terrain/obstacle response). • Emphasizes on-site application directions (construction automation/datafication) in Korean media interviews/reports.

• Adopters: General construction companies/builders, large project PMOs, on-site logistics/safety organizations • B2C/B2B/B2G: B2B-oriented (B2G elements possible in public infrastructure construction)

• Environmental/Regulatory Constraints: Setting and training are required because on-site routes/materials/safety regulations vary; safety certification/liability are barriers to adoption. • Industry/Market Scalability: Primary focus is construction-specific. However, there is room for expansion into manufacturing/logistics where there is a need for "heavy material movement + automated recording" (requires demonstration of results).

• CES Award Context Evaluation: The message of solving bottlenecks in traditional industries (construction) with "robot + data" is strong. • Technical Completeness: Autonomous driving on rough terrain/load carrying stability/data reliability are key. • Market Expectations: Demand for construction DX is high, but diffusion is gradual due to conservative industry characteristics. • Overestimated/Underestimated Factors: The key is whether AI's schedule judgment can be trusted at the level of actual PM decision-making.