Hao-Shu Fang

収録論文 25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

• Multi-Camera View Scaling for Data-Efficient Robot Imitation Learning
  2026/4/1
• ExoGS: A 4D Real-to-Sim-to-Real Framework for Scalable Manipulation Data Collection
  2026/1/1
• DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulation
  2025/9/1
• VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
  2025/7/1
• AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons
  2025/3/1
• Dense Policy: Bidirectional Autoregressive Learning of Actions
  2025/3/1
• AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency
  2025/2/1
• FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation
  2024/11/1
• CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation
  2024/10/1
• Towards Effective Utilization of Mixed-Quality Demonstrations in Robotic Manipulation via Segment-Level Selection and Optimization
  2024/9/1
• EyeSight Hand: Design of a Fully-Actuated Dexterous Robot Hand with Integrated Vision-Based Tactile Sensors and Compliant Actuation
  2024/8/1
• A Surprisingly Efficient Representation for Multi-Finger Grasping
  2024/8/1
• Graspness Discovery in Clutters for Fast and Accurate Grasp Detection
  2024/6/1
• RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective
  2024/4/1
• Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
  2023/12/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild
  2023/9/1
• Flexible Handover with Real-Time Robust Dynamic Grasp Trajectory Generation
  2023/8/1
• RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
  2023/7/1
• AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
  2022/12/1
• Unseen Object 6D Pose Estimation: A Benchmark and Baselines
  2022/6/1
• TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline
  2022/2/1
• SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping
  2021/3/1
• RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
  2021/3/1
• GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping
  2019/12/1