Yaoxu Lyu

収録論文 11本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• FORCE: Efficient VLA Reinforcement Fine-Tuning via Value-Calibrated Warm-up and Self-Distillation
  2026/6/1
• Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
  2026/6/1
• Mask World Model: Predicting What Matters for Robust Robot Policy Learning
  2026/4/1
• URDF-Anything+: End-to-End Generation for Simulation-Ready Articulated Assets
  2026/3/1
• RoboBrain 2.5: Depth in Sight, Time in Mind
  2026/1/1
• Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation
  2025/12/1
• RoboOS-NeXT: A Unified Memory-based Framework for Lifelong, Scalable, and Robust Multi-Robot Collaboration
  2025/10/1
• RoboBrain 2.0 Technical Report
  2025/7/1
• RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration
  2025/5/1
• H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos
  2025/5/1
• RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
  2024/12/1