We are developing a pervasive environment where devices and services proactively collaborate to seamlessly fulfill user intentions. To achieve this, we are designing Urban Space Robot, an autonomic computing platform for IoT-enabled smart cities.
User needs in any given space constantly evolve based on past experiences, including social interactions. Moreover, individuals navigate numerous locations daily, and even a single environment can change significantly within a short time. To anticipate user needs in real-time, Urban Space Robot dynamically builds a knowledge base by integrating cyber-physical convergence data.
Once a user’s intent is recognized, the platform orchestrates collaboration among distributed IoT agents to deliver context-aware services. As user requirements and urban conditions shift, Urban Space Robot continuously reconfigures IoT services to optimize Quality of Service (QoS). Through ongoing user-IoT interactions, IoT agents learn user preferences, enabling the autonomous evolution of urban intelligence.