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FD-RIDER-IR (AI 기반 시설물 검사 및 보수 로봇)
HonoreeConstruction & Industrial TechAI 로봇시설물 검사자율 유지보수비파괴 검사AI 이미지 분석건물 관리

FD-RIDER-IR (AI 기반 시설물 검사 및 보수 로봇)

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FD Tech Co., Ltd.

One-Line Product Definition

An autonomous driving robot that autonomously inspects cracks in bridges and buildings and performs repair work, deployed for infrastructure maintenance in dangerous high-altitude and confined spaces.

Problem Definition

Crack inspection of infrastructure such as bridges, high-rise buildings, and plants requires the deployment of high-risk workers, and the manual visual inspection by people is costly and time-consuming.

Although drones or simple crawler robots existed in the past, there were limitations to precise crack detection or repair work. In addition, maintenance of facilities in narrow or inaccessible areas was sometimes omitted.

Key Differentiators

FD-RIDER-IR is equipped with a precision camera, IR sensor, etc. on an autonomous driving robot platform to non-destructively inspect not only external cracks but also internal defects [23].

The AI vision algorithm automatically identifies minute cracks and analyzes abnormal patterns in real time to generate reports. In addition, the mounted modular robot arm can perform simple repair agent application or fastening work, so the robot handles the primary repair in places that are difficult for humans to access.

It combines autonomous movement and work capabilities, making it more efficient than existing inspection robots, and it is possible to predict the lifespan of facilities through data accumulation.

Key Adopters

Major customers are construction and civil engineering public corporations, local government infrastructure management departments, and large construction companies (B2G/B2B). For example, road corporations, railway corporations, and power plant operators can purchase or use services of this robot.

Scalability

There is a potential market in every country due to the increase in aging infrastructure. In the domestic market, it can ride the trend of smartening SOC management, and it can also enter overseas markets as a smart city infrastructure management solution.

However, the structure varies from site to site, requiring robot customization, and the initial adoption cost is high, so the market expansion rate may be slow.

Judges' Evaluation

Although the cause is great as a technology related to social safety, it received relatively quiet attention at CES compared to its splendid technology.

Technically, the fusion of AI+robot is impressive, but it is said that investor interest was limited due to its specific niche application. It remained at the level of a showcase demonstration, and market verification is insignificant due to the lack of actual field application cases.

Analyst Insights

📌 Solution limited to a specific niche (narrow field of infrastructure inspection, mainly used for public projects)

The award list data is based on the official CES 2026 website, and detailed analysis content is produced by USLab.ai. For content modification requests or inquiries, please contact contact@uslab.ai. Free to use with source attribution (USLab.ai) (CC BY)

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