SIMPLER

'SIMPLER' is a benchmark dataset used to evaluate Vision-Language-Action frameworks in the context of robot manipulation tasks.

Papers using SIMPLER (10)

PriGo: Test-Time Primitive Guidance to Diffusion and Flow Policies for Adaptive Robotic Manipulation2026DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation2026Learning to Accelerate Vision-Language-Action Models through Adaptive Visual Token Caching2026MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction2026Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment2026LoLA: Long Horizon Latent Action Learning for General Robot Manipulation2025LatBot: Distilling Universal Latent Actions for Vision-Language-Action Models2025FPC-VLA: A Vision-Language-Action Framework with a Supervisor for Failure Prediction and Correction2025villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models2025Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control2025