Enhancing Multi-Robot Navigation in Unstructured Outdoor Environments through Uncertainty-Aware Active Learning of Human Preference Landscape

A novel joint preference landscape learning and behavior-adjusting framework (PLBA) is developed to efficiently integrate real-time human guidance into multi-robot system (MRS) coordination and safely adapt MRS behaviors to diverse outdoor environments.