3 accepted papers
Imitation learning with 3D vision effectively alleviates the impact of variations in lighting, background, and texture. It exhibits superior robustness compared to 2D-based methods. However, existing 3D imitation learning methods often suffer from performance degradation as the task horizon increase
Unmanned aerial vehicle object detection (UAV-OD) has been widely used in various scenarios. However, most existing UAV-OD algorithms rely on manually designed components, which require extensive tuning. End-to-end models that do not depend on such manually designed components are mainly designed fo
Large language models (LLMs) have gained increasing popularity in robotic task planning due to their exceptional abilities in text analytics and generation, as well as their broad knowledge of the world. However, they fall short in decoding visual cues. LLMs have limited direct perception of the wor