Our PhD student Mincheul Kim presented his work titled “CCTV-Informed Human-Aware Robot Navigation in Crowded Indoor Environments” at IROS 2024. This study, which has also been accepted for publication in RAL 2024, proposes a novel navigation framework that integrates CCTV data with deep reinforcement learning to overcome the limitations of onboard sensors, enabling robots to navigate crowded indoor spaces safely and efficiently. By leveraging external CCTV insights on human movements, the framework anticipates interactions, minimizes collisions, and generates socially acceptable paths, significantly improving navigation compared to methods reliant solely on local sensing.
