Ying Li
収録論文 21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
- IOI: Decoupling Kinematics and Physics for Interactive World Models2026/6/1
- WAM4D: Fast 4D World Action Model via Spatial Register Tokens2026/6/1
- Efficient-WAM: A 1B-Parameter World-Action Model with Low-Cost Future Imagination2026/6/1
- GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors2026/6/1
- VEGA: Visual Encoder Grounding Alignment for Spatially-Aware Vision-Language-Action Models2026/5/1
- Towards Next-Generation SLAM: A Survey on 3DGS-SLAM Focusing on Performance, Robustness, and Future Directions2026/2/1
- Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test2026/1/1
- ManualVLA: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation2025/12/1
- URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model2025/11/1
- RoboArmGS: High-Quality Robotic Arm Splatting via B\'ezier Curve Refinement2025/11/1
- ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory2025/9/1
- WoW: Towards a World omniscient World model Through Embodied Interaction2025/9/1
- ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance2025/4/1
- Development of a magnetorheological hand exoskeleton featuring a high force-to-power ratio for enhanced grip endurance2025/3/1
- Harnessing the Power of Vibration Motors to Develop Miniature Untethered Robotic Fishes2025/1/1
- Energy-Aware Multi-Agent Reinforcement Learning for Collaborative Execution in Mission-Oriented Drone Networks2024/10/1
- HEROS: Hierarchical Exploration with Online Subregion Updating for 3D Environment Coverage2024/7/1
- HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration2024/7/1
- The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition2024/5/1
- Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores2023/7/1
- Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review2020/4/1