PAIR: Bridging Perception and Action in Vision-Language-Action Models
cs.AI
Submitted: 2026-10-06
Updated: 2026-10-06
Sources
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- RT-1: Robotics Transformer for Real-World Control at Scale
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- WorldVLA: Towards Autoregressive Action World Model
- NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks
- Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models
- LARA: Latent Action Representation Alignment for Vision-Language-Action Models
- RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation
- Unified Vision-Language-Action Model
- AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding
- LIRA: Local Cross-Layer Information Routing for Vision-Language-Action Decoding
- HARP-VLA: Human-Robot Aligned Representation Learning for Vision-Language-Action Model
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