Wenzhao Lian

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

• Practice Makes Policies: Bootstrapping and Consolidating Robotic Capabilities from Zero Human Demonstrations
  2026/7/1
• HALOMI: Learning Humanoid Loco-Manipulation with Active Perception from Human Demonstrations
  2026/6/1
• FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation
  2026/6/1
• BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models
  2026/5/1
• BridgeACT: Bridging Human Demonstrations to Robot Actions via Unified Tool-Target Affordances
  2026/4/1
• DexHiL: A Human-in-the-Loop Framework for Vision-Language-Action Model Post-Training in Dexterous Manipulation
  2026/3/1
• Viewpoint Matters: Dynamically Optimizing Viewpoints with Masked Autoencoder for Visual Manipulation
  2026/2/1
• CLASH: Collision Learning via Augmented Sim-to-real Hybridization to Bridge the Reality Gap
  2026/2/1
• Act, Sense, Act: Learning Active Perception from Large-Scale Egocentric Human Data
  2026/2/1
• FSAG: Enhancing Human-to-Dexterous-Hand Finger-Specific Affordance Grounding via Diffusion Models
  2026/1/1
• From Digital to Physical: Digital Agents as Autonomous Coaches for Physical Intelligence
  2026/1/1
• Look, Zoom, Understand: The Robotic Eyeball for Embodied Perception
  2025/11/1
• SAGE: Scene Graph-Aware Guidance and Execution for Long-Horizon Manipulation Tasks
  2025/9/1
• FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation
  2024/9/1
• Cable Routing and Assembly using Tactile-driven Motion Primitives
  2023/3/1
• Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks
  2022/12/1
• Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces
  2022/11/1
• Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
  2022/10/1
• Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks
  2022/3/1
• You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
  2022/1/1
• CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
  2021/9/1
• Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
  2021/3/1
• Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks
  2021/3/1
• Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks
  2021/1/1
• Learning Dense Rewards for Contact-Rich Manipulation Tasks
  2020/11/1