PRISM: Precision Forcing for Generalist Vision-Language-Action Policies
cs.RO
Submitted: 2026-10-10
Updated: 2026-10-10
Project page: https://seen-e.github.io/PRISM/ABSTRACT
Sources
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RT-1: Robotics Transformer for Real-World Control at Scale
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
- Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- OpenVLA: An Open-Source Vision-Language-Action Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
- Flow Matching for Generative Modeling
- HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
- LaST$_{0}$: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model
- From Reach to Insert: Tactile-Augmented Precision Assembly under Sub-Millimeter Tolerances
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- Octo: An Open-Source Generalist Robot Policy
- Keyframe-Focused Visual Imitation Learning
- Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
- Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
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- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies