Kun Wu
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
- A Causality-aware Infer-diagnose-refine Framework for Test-time Modality Adaptation in VLA Models2026/7/1
- HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation2026/4/1
- RoboAug: One Annotation to Hundreds of Scenes via Region-Contrastive Data Augmentation for Robotic Manipulation2026/2/1
- RoboGene: Boosting VLA Pre-training via Diversity-Driven Agentic Framework for Real-World Task Generation2026/2/1
- LaST$_{0}$: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model2026/1/1
- Real-world Reinforcement Learning from Suboptimal Interventions2025/12/1
- RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence2025/12/1
- XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations2025/11/1
- Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain2025/10/1
- Long-Horizon Visual Imitation Learning via Plan and Code Reflection2025/9/1
- MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation2025/9/1
- Training-free Generation of Temporally Consistent Rewards from VLMs2025/7/1
- SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models2025/6/1
- ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning2025/6/1
- FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency2025/6/1
- HACTS: a Human-As-Copilot Teleoperation System for Robot Learning2025/3/1
- Diffusion Trajectory-guided Policy for Long-horizon Robot Manipulation2025/2/1
- RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation2024/12/1
- ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning2024/12/1
- Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models2024/9/1
- TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation2024/9/1
- Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation2024/9/1
- A Survey on Robotics with Foundation Models: toward Embodied AI2024/2/1
- Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation2024/1/1
- Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation2024/1/1