Critical Interval MSE: Toward Reliable Offline Validation for Robot Manipulation Policies
cs.RO, cs.AI
Submitted: 2026-06-29
Updated: 2026-10-13
Project page: https://ci-mse.github.io
Terminology
Sources
- AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
- WorldEval: World Model as Real-World Robot Policies Evaluator
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models
- The Surprising Effectiveness of Representation Learning for Visual Imitation
- Tune to Learn: How Controller Gains Shape Robot Policy Learning
- Learning to Evaluate Autonomous Behaviour in Human-Robot Interaction
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
- ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning
- X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
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