UC-MESL: A MAP-Elites Skill Library with Hierarchical Policy Switching for Robust Rescue Robotics Under Sensing Uncertainty
Robots deployed in disaster scenarios—such as collapsed buildings, flooded tunnels, or conflict-damaged urban areas—must navigate without GPS, operate under poor sensing conditions (dust, smoke, darkness), and adapt quickly as the situation changes. Most existing learning-based approaches train a single navigation poli...