Welcome to ODAI Lab.

At ODAI@UOS, our research delves into cutting-edge on-device AI technologies, aiming to bring advanced intelligence directly to edge devices. We primarily focus on three critical areas: Lightweight (경량) AI, Secure (보안) AI, and Physical (물리) AI.

• Lightweight AI: We develop highly efficient AI models for resource-constrained edge devices. Our research maximizes the energy efficiency of Spiking Neural Networks (SNNs) and Large Multi-modal Models (LMMs). We also advance structural optimizations, such as extremely low-bit (e.g., 4-bit) quantization, for Open-Vocabulary Object Detection (OVOD). 

• Secure AI: We enhance the robustness of AI models against adversarial attacks and data breaches. Our work investigates vulnerabilities targeting the temporal dynamics of Multi-Object Trackers (MOT) and SNNs, and develops fundamental security frameworks, including TEE-shielded DNN isolation and defenses against embedding inversion in Multi-Agent RAG systems. 

• Physical AI: We build real-time systems for dynamic environments like autonomous vehicles and robotics. To optimize latency-accuracy trade-offs, we design dynamic scheduling frameworks integrating CF-DETR and real-time MOT. For physical interaction, we develop a VR-teleoperated platform using an xArm7 and haptic dexterous hand, integrating Vision-Language-Action (VLA) models via NVIDIA Isaac Sim, enabling explainable industrial anomaly detection. Additionally, we apply advanced sensor fusion to ensure robust perception in unstructured mobility domains.