Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Acceleration
cs.RO
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
- ProbeFlow: Training-Free Adaptive Flow Matching for Vision-Language-Action Models
- Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
- RLBench: The Robot Learning Benchmark & Learning Environment
- What Are We Actually Benchmarking in Robot Manipulation?
- Evaluating Real-World Robot Manipulation Policies in Simulation
- CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
- Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- A New Approach to Time-Optimal Path Parameterization based on Reachability Analysis
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- RoboEval: Where Robotic Manipulation Meets Structured and Scalable Evaluation
- Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAs
- VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and Robots
- LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
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