Hang Yin

Stanford University

収録論文 28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

• MANIGUARD: 仕様に基づく安全性評価とロボット操作改善のためのベンチマークとデータセット
  安全性評価/操作2026/8/18

  ロボット操作の基盤モデルの安全性を評価・改善するための、仕様に基づくフレームワークとベンチマーク、データセットを提案した論文。

• SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation
  2026/6/1
• AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning
  2026/6/1
• AwareVLN: Reasoning with Self-awareness for Vision-Language Navigation
  2026/5/1
• Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
  2026/5/1
• F2F-AP: Flow-to-Future Asynchronous Policy for Real-time Dynamic Manipulation
  2026/4/1
• CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection
  2026/4/1
• ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
  2025/11/1
• MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation
  2025/10/1
• GC-VLN: Instruction as Graph Constraints for Training-free Vision-and-Language Navigation
  2025/9/1
• MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation
  2025/9/1
• Real-Time Iteration Scheme for Diffusion Policy
  2025/8/1
• IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation
  2025/8/1
• BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
  2025/3/1
• UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
  2025/3/1
• SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
  2024/10/1
• Unfolding the Literature: A Review of Robotic Cloth Manipulation
  2024/7/1
• Embodied Instruction Following in Unknown Environments
  2024/6/1
• BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
  2024/3/1
• Interactive Perception for Deformable Object Manipulation
  2024/3/1
• Back to the Manifold: Recovering from Out-of-Distribution States
  2022/7/1
• Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects
  2021/3/1
• Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
  2021/3/1
• Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation
  2021/3/1
• Learning Stable Normalizing-Flow Control for Robotic Manipulation
  2020/11/1
• Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation
  2020/4/1
• Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation
  2020/3/1
• Data-efficient Model Learning and Prediction for Contact-rich Manipulation Tasks
  2019/9/1