Kaichun Mo
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
- Cosmos 3: Omnimodal World Models for Physical AI2026/6/1
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos2026/2/1
- PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation2026/1/1
- Openpi Comet: Competition Solution For 2025 BEHAVIOR Challenge2025/12/1
- World Simulation with Video Foundation Models for Physical AI2025/11/1
- Slot-Level Robotic Placement via Visual Imitation from Single Human Video2025/4/1
- MatchMaker: Automated Asset Generation for Robotic Assembly2025/3/1
- Cosmos World Foundation Model Platform for Physical AI2025/1/1
- 3D-MVP: 3D Multiview Pretraining for Robotic Manipulation2024/6/1
- URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images2024/5/1
- STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots2023/11/1
- Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects2023/9/1
- COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos2022/10/1
- DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation2022/7/1
- Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction2022/5/1
- AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions2021/12/1
- IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes2021/12/1
- RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment2021/12/1
- Learning to Regrasp by Learning to Place2021/9/1
- VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects2021/6/1
- O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning2021/6/1
- Where2Act: From Pixels to Actions for Articulated 3D Objects2021/1/1
- Learning 3D Part Assembly from a Single Image2020/3/1
- SAPIEN: A SimulAted Part-based Interactive ENvironment2020/3/1
- The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation2018/2/1