IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation
cs.RO, cs.AI, cs.CL, cs.CV
Submitted: 2026-05-14
Updated: 2026-08-30
Code: https://github.com/ZGC-EmbodyAI/IntentVLA
Project page: https://facebookresearch.github.io/fairo/polymetis
Terminology
Sources
- H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
- UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
- StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
- Mimic Intent, Not Just Trajectories
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- Evo-0: Vision-Language-Action Model with Implicit Spatial Understanding
- PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence
- GazeVLA: Learning Human Intention for Robotic Manipulation
- Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
- RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
- CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
- Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models
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