AI-Integrated Physital Convergence
- We pioneer AI-integrated physital (physical + digital) systems that bridge physical hardware with digital intelligence for real-time sensing, analysis, and execution.
- Our research focuses on embedded machine learning, physical AI architectures, and intelligent sensor-actuator networks to enable autonomous adaptation and interactive control.
- Through this convergence, we aim to transform smart environments, human-machine interaction, and next-generation autonomous engineering solutions.