VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models

arXiv:2605.29562 · cs.RO, cs.AI, cs.CV · Submitted 2026-05-28 · Read on arXiv

cs.RO, cs.AI, cs.CV

Submitted: 2026-05-28

Updated: 2026-10-19

Comments: Accepted by NeurIPS 2026 (Poster)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Generalization — 2× in this paper · explained in 13 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Modularity — 1× in this paper · explained in 9 episodes

Related papers

• FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
• MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
• RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
• ARC: A Reasoning Recipe for Robot Foundation Models
• HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
• APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies