Robot Perception & IoT
Builds a heterogeneous robot IoT perception architecture using multimodal AI sensing and edge computing for real-time collaborative awareness.
Cross-Disciplinary Industry–Academia Liaison Platform and Industrial Technology Commercialization
Strategic Management
Ta-Sung LeeDistinguished Professor
Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University
Core Technology
Focuses on the hardware development of LEO satellite ground station receiving equipment and the development of end-to-end testing systems for inter-satellite handover scenarios, covering RF-layer and protocol-layer verification including Doppler compensation, beam switching, and handover latency. Its distinguishing feature lies in targeting LEO satellite communications as the application domain, constituting system-level testing research within a specific vertical sector.
Kai-Ten FengProfessor
Institute of Communications Engineering, National Yang Ming Chiao Tung University
Core Technology
MINT Lab's core technologies center on Wi-Fi Channel State Information (CSI)-based wireless sensing, leveraging deep learning and recurrent neural network methods to enable device-free human detection including presence, fall, and respiration rate monitoring. The lab also specializes in millimeter wave (mmWave) beamforming, Reconfigurable Intelligent Surface (RIS) resource management, and federated edge learning (FEL) for distributed AI-driven wireless network optimization.
Ching-I HuangAssistant Professor
National Tsing Hua University Department of Power Mechanical Engineering
Core Technology
Human-Robot Interaction, Robot Learning, Virtual Reality