Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization
cs.RO, cs.AI
Submitted: 2026-10-04
Updated: 2026-10-04
Project page: https://clementine24.github.io/Vela
Sources
- Cosmos 3: Omnimodal World Models for Physical AI
- Qwen3-VL Technical Report
- PaliGemma: A versatile 3B VLM for transfer
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
- Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
- EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies
- B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
- Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation
- Mixture of Horizons in Action Chunking
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning
- Adaptive Action Chunking at Inference-time for Vision-Language-Action Models
- InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization
- Octo: An Open-Source Generalist Robot Policy
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