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• Background problem: Factory/plant/large building inspections are heavily reliant on manpower and have high safety risks, and digital twins are prone to remaining "for show" if data collection is weak. • Limitations of existing methods: (1) Manual inspections have recording omissions/deviations (2) Fixed sensors alone have blind spots (3) The operating system that connects anomalies to alarms/work orders is fragmented.

• CES introduction criteria: Collects data with autonomous quadruped robot + 360-degree camera and IoT sensors, creates a digital twin, and integrates with facility alarms for real-time monitoring, remote inspection, and predictive maintenance

• Adopters: Manufacturing/energy/logistics facility operators, safety management organizations, public infrastructure operators, FM (facility management) companies • B2C/B2B/B2G: B2B-focused + some B2G

• Environmental/regulatory constraints: Customization of terrain/network/safety regulations for each site, and management of robot operation safety (collision/fall) risks are essential. • Industry/market scalability: Demand for inspection automation is broad, but diffusion depends on proving the reduction effect (ROI) compared to the introduction cost.

• Evaluation of CES award context: The combination of robot, edge, and digital twin has a clear message and is strong for showcases. • Technical completeness: Robot driving stability/durability, data quality, and the level of integration of alarm/operation systems are key. • Market expectations: Competition in similar areas (existing quadruped robot-based inspection solutions) is strong. • Overrated/underrated factors: Digital twins must be proven by operating results that are actually linked to maintenance/work orders.