Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use

arXiv:2608.14047 · cs.RO, cs.AI, cs.CV · Submitted 2026-08-14 · Read on arXiv

cs.RO, cs.AI, cs.CV

Submitted: 2026-08-14

Updated: 2026-09-24

Terminology

• Affordance — 20× in this paper · explained in 1 episode
• VLA Models — 13× in this paper · explained in 3 episodes
• Fine-Tuning — 10× in this paper · explained in 5 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• International Conference on Learning Representations — 6× in this paper
• Generalizability — 5× in this paper · explained in 6 episodes
• Agentic Robot with Tool-use — 4× in this paper
• Annual Conference on Robot Learning — 4× in this paper
• Catastrophic Forgetting — 4× in this paper · explained in 5 episodes
• Computer Vision and Pattern Recognition — 4× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Core — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• LoRA Fine-Tuning — 3× in this paper · explained in 3 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Adaptability — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Decoupling — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• International Conference on Machine Learning — 2× in this paper
• Tokenization — 2× in this paper · explained in 2 episodes
• Vision-Language-Action (VLA) Models — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Task Planning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 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
• HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
• APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
• Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving