Rollback: Experience Backtracking in World Models for Policy Improvement Paper • 2610.36068 • Published 13 days ago • 54
RoboValue: A Fine-Grained Sim-and-Real Benchmark for Unified Evaluation of Robotic Value Models Paper • 2610.26663 • Published 20 days ago • 25
Rollback: Experience Backtracking in World Models for Policy Improvement Paper • 2610.36068 • Published 13 days ago • 54
Learning from Fleet Experience: A Collective Learning Paradigm for Robots Paper • 2610.25736 • Published 20 days ago • 113
WorldOracle: Benchmarking Action-Conditioned World Models against Real-World Executions Paper • 2610.18826 • Published 26 days ago • 3
RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks Paper • 2603.11558 • Published Apr 1
Learning from Fleet Experience: A Collective Learning Paradigm for Robots Paper • 2610.25736 • Published 20 days ago • 113
GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation Paper • 2609.05588 • Published Sep 4 • 38
GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation Paper • 2609.05588 • Published Sep 4 • 38
Fidelity-Aware Data Composition for Robust Robot Generalization Paper • 2509.24797 • Published Sep 29, 2025 • 2
Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training Paper • 2512.24125 • Published Dec 30, 2025 • 1
GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation Paper • 2605.27491 • Published May 26 • 16
GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation Paper • 2605.27491 • Published May 26 • 16
Real2Edit2Real: Generating Robotic Demonstrations via a 3D Control Interface Paper • 2512.19402 • Published Dec 22, 2025 • 8
ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models Paper • 2601.11404 • Published Jan 16 • 26
ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models Paper • 2601.11404 • Published Jan 16 • 26
ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models Paper • 2601.11404 • Published Jan 16 • 26