Ngo Anh Vien
収録論文 23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
- Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think2026/6/1
- Start Right, Arrive Right: Asynchronous Execution via Initial Noise Selection2026/6/1
- EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models2026/6/1
- ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning2026/4/1
- Towards a Multi-Embodied Grasping Agent2025/10/1
- TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion2025/5/1
- Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation2024/11/1
- Diffusion for Multi-Embodiment Grasping2024/10/1
- Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking2024/5/1
- Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking2024/3/1
- Uncertainty-driven Exploration Strategies for Online Grasp Learning2023/9/1
- DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes2023/8/1
- SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects2023/8/1
- Model-free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking2023/7/1
- Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach2022/11/1
- Deep Black-Box Reinforcement Learning with Movement Primitives2022/10/1
- Meta-Learning Regrasping Strategies for Physical-Agnostic Objects2022/5/1
- Hierarchical Policy Learning for Mechanical Search2022/2/1
- A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives2021/11/1
- Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction2021/8/1
- Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty2021/6/1
- Differentiable Robust LQR Layers2021/6/1
- Bayes-Adaptive Deep Model-Based Policy Optimisation2020/10/1