3 papers
cs.RO2026
AC-VLA: Robust Out-of-Distribution Action Execution via Compositional Learning
Xiaojiang Peng, Kai Peng, Jie Lu +3
Vision-Language-Action (VLA) models excel at end-to-end robotic manipulation but struggle with out-of-distribution (OOD) generalization when familiar sub-tasks are recombined in un…
cs.DS2026
Dimension Reduction for Curves: Simplified and Generalized
Matthijs Ebbens, Jie Lu, Alexander Munteanu
We revisit random projections for reducing the dimension of high-dimensional polygonal curves. Drawing from the toolbox of randomized linear algebra, we give a considerably simplif…
cs.RO2026
Unleashing More Actions via Action Compositional Training for VLA Models
Kai Peng, Jie Lu, Xiaojiang Peng
Vision-Language-Action models excel at robotic manipulation, driven by the scale and diversity of demonstration data. However, standard training paradigms often cause VLA models to…