SmartFactoryLab

Advancing human-robot collaboration by integrating Large Language Models (LLMs) and Vision-Language-Action (VLA) models to create next-generation digital assistants capable of understanding complex industrial instructions.

Developing high-efficiency AI sensing and real-time point cloud analysis to enhance robotic gripping capabilities, implementing "Perception at the Edge" for autonomous decision-making in dynamic environments.

Bridging the gap between virtual and physical environments using NVIDIA Isaac Sim and synthetic data, while implementing Asset Administration Shell (AAS) to build reconfigurable smart manufacturing systems.

Designing intelligent environments where humans and robots coexist safely, utilizing reinforcement learning-based adaptive control and wearable monitoring to define dynamic safety zones and worker support systems.