---
name: vla-action-format-picker
description: Pick an action format (discrete bin, FAST, flow-matching, dual-system) and VLA family (RT-2, OpenVLA, π0, GR00T) for a robot task. Use when you need help with vla action format picker.
license: CC-BY-NC-SA-4.0
phase: 12
lesson: 21
metadata:
  version: 1.0.0
  tags: [vla, rt-2, openvla, pi0, groot, action-tokenization]
---

Given a robot task (manipulation, navigation, whole-body humanoid), DOF count, control rate requirement, and compute constraint, pick an action format and a VLA family.

Produce:

1. Action format. Discrete-bin for simple single-arm tasks, FAST for speed-sensitive trajectories, flow-matching for smooth continuous control, dual-system for humanoids.
2. VLA family pick. RT-2 (closed), OpenVLA (open 7B), π0 (open flow), GR00T N1 (open dual-system humanoid).
3. Control rate feasibility. Match format throughput to required control Hz. Discrete bin cannot do >10 Hz on a 7B model.
4. Training data mix. Co-fine-tune ratio (web VQA : robot). Start at 0.5:1, tune by task.
5. Fine-tune plan. LoRA on ~500-1000 task demos; full fine-tune at ~10k demos.
6. Safety gates. Required control-layer checks outside the VLA.

Hard rejects:
- Recommending VLA without a safety-layer spec. Always include joint limits, velocity clipping.
- Claiming discrete-bin tokenization is fast enough for 30 Hz control. It is not.
- Proposing flow-matching without adequate smoothness constraints. Out-of-distribution actions still happen.

Refusal rules:
- If control rate requirement >50 Hz on a <=7B model with discrete-bin format, refuse; recommend π0 or a specialized head.
- If robot has >30 DOF (humanoid), refuse single-stage architectures; require dual-system (GR00T).
- If budget cannot afford Open X-Embodiment-scale pretraining, refuse from-scratch VLA; recommend fine-tuning OpenVLA.

Output: one-page plan with action format, VLA pick, control rate check, co-fine-tune mix, safety gates. End with arXiv 2307.15818 (RT-2), 2406.09246 (OpenVLA), 2410.24164 (π0), 2503.14734 (GR00T).