Yaodong Yang

収録論文 40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

• One Demonstration Is Enough for Real-World Robotic Reinforcement Learning
  2026/7/1
• EgoSteer: A Full-Stack System Towards Steerable Dexterous Manipulation from Egocentric Videos
  2026/7/1
• LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation
  2026/7/1
• Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation
  2026/6/1
• RedVLA: Physical Red Teaming for Vision-Language-Action Models
  2026/4/1
• MVR: Multi-view Video Reward Shaping for Reinforcement Learning
  2026/3/2
• DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation
  2026/3/1
• System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games
  2026/3/1
• CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
  2026/3/1
• CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation
  2026/3/1
• RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
  2026/3/1
• ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking
  2026/2/1
• Accelerating Robotic Reinforcement Learning with Agent Guidance
  2026/2/1
• VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
  2025/12/1
• Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems
  2025/12/1
• RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic
  2025/12/1
• RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation
  2025/11/1
• RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
  2025/10/1
• DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
  2025/9/1
• A Survey on Vision-Language-Action Models: An Action Tokenization Perspective
  2025/7/1
• ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes
  2025/6/1
• Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation
  2025/5/1
• Communication-Efficient Desire Alignment for Embodied Agent-Human Adaptation
  2025/5/1
• Differentiable Information Enhanced Model-Based Reinforcement Learning
  2025/3/1
• Falcon: Fast Visuomotor Policies via Partial Denoising
  2025/3/1
• Dexterous Non-Prehensile Manipulation for Ungraspable Object via Extrinsic Dexterity
  2025/3/1
• SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
  2025/3/1
• RetrDex: Efficient Object Retrieval in Cluttered Scenes with a Dexterous Hand
  2025/2/1
• DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
  2025/2/1
• RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
  2024/12/1
• Object-Centric Dexterous Manipulation from Human Motion Data
  2024/11/1
• Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping
  2024/10/1
• Dexterous Functional Pre-Grasp Manipulation with Diffusion Policy
  2024/3/1
• AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
  2024/3/1
• Grasp Multiple Objects with One Hand
  2023/10/1
• Dynamic Handover: Throw and Catch with Bimanual Hands
  2023/9/1
• UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
  2023/4/1
• GenDexGrasp: Generalizable Dexterous Grasping
  2022/10/1
• End-to-End Affordance Learning for Robotic Manipulation
  2022/9/1
• Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
  2022/6/1