VLANeurIPS 20252025

VLA-Bench: Comprehensive Benchmark for Vision-Language-Action Models

Karl Pertsch, Moo Jin Kim, Chelsea Finn, Sergey LevineStanford University, UC Berkeley

摘要

We present VLA-Bench, a comprehensive benchmark suite for evaluating vision-language-action models. VLA-Bench provides standardized tasks, environments, and metrics across multiple robot platforms, enabling fair comparison of VLA approaches and identifying key challenges for future research.

VLA benchmarkstandardized evaluationmulti-platformfair comparisoncomprehensive metrics

技术细节

数据集
VLA-Bench (100 tasks)Open X-Embodiment
测试机器人
模型骨架

Benchmark Framework (multiple baselines)

编码器

ViT-B/L/H + Proprioceptive Encoders

解码器

Transformer Decoders (4-32 layers)

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