Yu Xiang
収録論文 45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
- Cross-Embodiment Robot Manipulation via a Unified Hand Action Space2026/7/1
- NAC: Neural Action Codec for Vision-Language-Action Models2026/6/19
- NAC: Neural Action Codec for Vision-Language-Action Models2026/6/1
- VLA-REPLICA: A Low-Cost, Reproducible Benchmark for Real-World Evaluation of Vision-Language-Action Models2026/5/1
- ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning2026/3/1
- Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons2026/3/1
- From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes2026/3/1
- MotionBits: Video Segmentation through Motion-Level Analysis of Rigid Bodies2026/3/1
- Where to Touch, How to Contact: A Hierarchical RL-MPC Framework for Geometry-Aware Sim-to-Real Manipulation2026/1/1
- HRT1: One-Shot Human-to-Robot Trajectory Transfer for Mobile Manipulation2025/10/1
- OpenEgo: A Large-Scale Multimodal Egocentric Dataset for Dexterous Manipulation2025/9/1
- V-HOP: Visuo-Haptic 6D Object Pose Tracking2025/2/1
- iTeach: In the Wild Interactive Teaching for Failure-Driven Adaptation of Robot Perception2024/10/1
- Build Once, Monitor Continuously: Persistent Semantic Mapping via Autonomous Exploration and Open-Vocabulary Object Updates2024/9/1
- RobotFingerPrint: Unified Gripper Coordinate Space for Multi-Gripper Grasp Synthesis and Transfer2024/9/1
- Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation2024/5/1
- MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands2024/3/1
- Grasping Trajectory Optimization with Point Clouds2024/3/1
- RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features2024/3/1
- Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning2023/7/1
- SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes2023/6/1
- Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction2023/2/1
- Mean Shift Mask Transformer for Unseen Object Instance Segmentation2022/11/1
- NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands2022/7/1
- FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments2022/7/1
- HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers2022/5/1
- iCaps: Iterative Category-level Object Pose and Shape Estimation2022/1/1
- Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans2021/7/1
- RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks2021/6/1
- RGB-D Local Implicit Function for Depth Completion of Transparent Objects2021/4/1
- Learning Composable Behavior Embeddings for Long-horizon Visual Navigation2021/2/1
- Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds2020/10/1
- Unseen Object Instance Segmentation for Robotic Environments2020/7/1
- Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation2020/7/1
- LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation2019/12/1
- Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection2019/11/1
- Scaling Local Control to Large-Scale Topological Navigation2019/9/1
- Self-supervised 6D Object Pose Estimation for Robot Manipulation2019/9/1
- The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation2019/7/1
- PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking2019/5/1
- Neural Autonomous Navigation with Riemannian Motion Policy2019/4/1
- Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects2018/9/1
- DeepIM: Deep Iterative Matching for 6D Pose Estimation2018/4/1
- PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes2017/11/1
- DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks2017/3/1