자율적 지식 에이전트로서의 로봇: RaaS 환경의 경제적 자율성 부여와 지식 경영

This study addresses the limitations of the current centralized architecture in Robotics as a Service (RaaS), which prevent the vast data and knowledge generated by robots from being assetized. In conventional RaaS environments, robots remain as mere data collection tools dependent on a central platform, lacking the economic autonomy required for value creation through Machine-to-Machine (M2M) knowledge transactions. To overcome this, we propose the introduction of an "Off-chain Wallet" as a core technology to grant robots the status of independent economic agents. The Off-chain Wallet serves as an economic interface, enabling robots to conduct real-time, Peer-to-Peer (P2P) micro-knowledge transactions with other entities without central server intervention. Through a literature review and conceptual modeling, we present a novel RaaS architecture integrated with Off-chain Wallets and propose four innovative business models based on it: 1) a "Knowledge-based Economic Self-Sufficiency Model," where robots generate revenue and manage costs by trading knowledge assets; 2) an "Open M2M Knowledge Market Model," allowing interoperable knowledge trading among robots from different manufacturers; 3) a "Knowledge-based Dynamic Collaboration Model," where multiple robots use smart contracts to combine knowledge and physical capabilities to solve complex tasks, distributing rewards based on contribution; and 4) a "Knowledge-as-a-Service (KaaS) Model," which utilizes the robot infrastructure to sell knowledge itself as a service. We conduct an exploratory analysis of the technical, economic, and operational/strategic feasibility of these models, demonstrating how robots can evolve beyond simple laborers into "Autonomous Knowledge Agents." In conclusion, this research holds significant academic and industrial implications by providing a theoretical foundation and strategic direction for the RaaS industry to advance toward a future "Autonomous Robot Knowledge Economy"