Enhancing Safe Mobile Robot Navigation in Smart Factories within Human-Robot Shared Workspaces Using Vision-Language Models and Digital Twin Technology

Purpose:

The purpose of this project is to create an intelligent navigation framework for AMRs that combines Vision‑Language Models with robust communication systems and digital twin technology. The solution will allow robots to differentiate humans from static obstacles, exchange intention and timing information, and navigate collaboratively within factory environments. Through simulation and physical deployment, the project will advance human‑aware robot navigation and support the development of safer, more efficient industrial automation.

Contact Information:

Postdoc Sepideh Valiollahi, Electronic Systems Department

Associate Professor Chen Li, Department of Materials and
Production