3 accepted papers
Large Language Models (LLMs) achieve strong performance on diverse tasks but often exhibit cognitive inertia, struggling to follow instructions that conflict with the standardized patterns learned during supervised fine-tuning (SFT). To evaluate this limitation, we propose Inverse IFEval, a benchmar…
In the process of landing unmanned aerial vehicles (UAVs) on an unmanned surface vehicle (USV), a manipulator can be applied to help the UAV land safely and accurately. However, it is a challenge to control the manipulator on a disturbed USV due to joint velocity constraints and bandwidth limitation…
Human beings and animals are capable of recognizing places from a previous journey when viewing them under different environmental conditions (e.g., illuminations and weathers). This paper seeks to provide robots with a human-like place recognition ability using a new point cloud feature learning me…