Zixuan Deng

Safety-Compliant Navigation: Navigation Point-Guided Planning with Primitive Trajectories

In learning from demonstrations (LfD) for trajectory planning, end-to-end deep learning (DL) methods offer fast inference and adaptability to complex inputs. However, they are prone to cumulative errors due to limited expert time-series data, which poses challenges in safety-critical applications. T