Yunzhu Li

Columbia University

収録論文 63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

• Hydra-0: 汎用世界モデリングと制御のためのアクションフロー
  世界モデル2026/8/18

  ロボットの動作をピクセル運動として表現するアクションフローを用いた汎用世界モデルを提案し、動作誤差を大幅に低減し、ゼロショット合成やデータ効率的な適応を実現した。

• Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
  2026/7/1
• FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation
  2026/7/1
• BoxTwin: Learning Elastoplastic Articulated Object Dynamics from Videos
  2026/7/1
• VTAP Gripper: Synergizing Fingertip Sensing and a Visuo-Tactile Active Palm for Dexterous In-Hand Manipulation
  2026/7/1
• Learning Physics-Guided Residual Dynamics for Deformable Object Simulation
  2026/7/1
• Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models
  2026/7/1
• CoStream: Composing Simple Behaviors for Generalizable Complex Manipulation
  2026/6/1
• FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems
  2026/4/1
• Learning Tactile-Aware Quadrupedal Loco-Manipulation Policies
  2026/4/1
• Interactive World Simulator for Robot Policy Training and Evaluation
  2026/3/1
• Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunities
  2026/3/1
• Efficient and Reliable Teleoperation through Real-to-Sim-to-Real Shared Autonomy
  2026/3/1
• ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning
  2026/3/1
• IMPASTO: Integrating Model-Based Planning with Learned Dynamics Models for Robotic Oil Painting Reproduction
  2026/3/1
• Learning Force-Regulated Manipulation with a Low-Cost Tactile-Force-Controlled Gripper
  2026/2/1
• Flexible Multitask Learning with Factorized Diffusion Policy
  2025/12/1
• Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions
  2025/11/1
• VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
  2025/10/1
• Multi-Modal Manipulation via Multi-Modal Policy Consensus
  2025/9/1
• Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
  2025/7/1
• Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
  2025/7/1
• CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity
  2025/6/1
• Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos
  2025/6/1
• Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
  2025/4/1
• PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
  2025/3/1
• Localized Graph-Based Neural Dynamics Models for Terrain Manipulation
  2025/3/1
• Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models
  2025/3/1
• KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation
  2025/3/1
• A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
  2025/2/1
• CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph
  2025/1/1
• BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
  2024/12/1
• 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
  2024/10/1
• Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling
  2024/10/1
• GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy
  2024/10/1
• ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
  2024/9/1
• RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
  2024/7/1
• AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
  2024/7/1
• BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
  2024/3/1
• RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
  2024/2/1
• Model-Based Control with Sparse Neural Dynamics
  2023/12/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
  2023/9/1
• D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement
  2023/9/1
• VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
  2023/7/1
• Dynamic-Resolution Model Learning for Object Pile Manipulation
  2023/6/1
• Multi-Object Manipulation via Object-Centric Neural Scattering Functions
  2023/6/1
• The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects
  2023/6/1
• RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools
  2023/6/1
• Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
  2022/10/1
• Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
  2022/10/1
• Reinforcement Learning with Neural Radiance Fields
  2022/6/1
• RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
  2022/5/1
• ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
  2022/5/1
• DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
  2022/3/1
• Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
  2022/2/1
• Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
  2021/9/1
• 3D Neural Scene Representations for Visuomotor Control
  2021/7/1
• Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
  2020/9/1
• Learning Compositional Koopman Operators for Model-Based Control
  2019/10/1
• Connecting Touch and Vision via Cross-Modal Prediction
  2019/6/1
• Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
  2018/10/1
• Propagation Networks for Model-Based Control Under Partial Observation
  2018/9/1