View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (32)

[1]
FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
2025Yicheng Liu, Shiduo Zhang et al.
[2]
π*0.6: a VLA That Learns From Experience
2025Physical Intelligence, Ali Amin et al.
[3]
VLA-0: Building State-of-the-Art VLAs with Zero Modification
2025Ankit Goyal, Hugo Hadfield et al.
[4]
Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting
2025Asher Hancock, Xindi Wu et al.
[5]
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
2025Weiyun Wang, Zhangwei Gao et al.
[6]
MolmoAct: Action Reasoning Models that can Reason in Space
2025Jason Lee, Jiafei Duan et al.
[7]
VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
2025Yating Wang, Haoyi Zhu et al.
[8]
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
2025Mustafa Shukor, Dana Aubakirova et al.
[9]
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
2025Danny Driess, Jost Tobias Springenberg et al.
[10]
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
2025Zibin Dong, Yicheng Liu et al.
[11]
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
2025Qingwen Bu, Yanting Yang et al.
[12]
π0.5: a Vision-Language-Action Model with Open-World Generalization
2025Physical Intelligence, Kevin Black et al.
[13]
SmolVLM: Redefining small and efficient multimodal models
2025Andrés Marafioti, Orr Zohar et al.
[14]
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
2025Nvidia, Johan Bjorck et al.
[15]
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
2025Moo Jin Kim, Chelsea Finn et al.
[16]
SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
2025Delin Qu, Haoming Song et al.
[17]
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
2024Shiduo Zhang, Zhe Xu et al.
[18]
π0: A Vision-Language-Action Flow Model for General Robot Control
2024Kevin Black, Noah Brown et al.
[19]
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
2024Atharva Mete, Haotian Xue et al.
[20]
OpenVLA: An Open-Source Vision-Language-Action Model
2024Moo Jin Kim, Karl Pertsch et al.

Showing 20 of 32 references

Founder's Pitch

"ActionCodec is a high-performance action tokenizer that significantly enhances VLA models' training efficiency and performance, setting new benchmarks for robotics tasks without pre-training."

Vision-Language-Action ModelsScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

2/4 signals

5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/17/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.