Foundational Models for Robotics in Dynamic Environments

This paper explores the development of novel foundational models that enable robots to operate robustly and adaptively in complex and rapidly changing real-world environments. The models integrate advanced perception, planning, and control capabilities, showing significant promise for industrial automation and autonomous navigation applications.