Stan Birchfield
NVIDIA
収録論文 52本 ・ フィジカルAI/ロボット学習
世界モデルVQA/操作計画
※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
- Hydra-0: 汎用世界モデリングと制御のためのアクションフロー世界モデル2026/8/18
ロボットの動作をピクセル運動として表現するアクションフローを用いた汎用世界モデルを提案し、動作誤差を大幅に低減し、ゼロショット合成やデータ効率的な適応を実現した。
- PROBE: VLMエージェントによる操作基盤の視覚質問応答VQA/操作計画2026/8/17
ロボットが隠れた物体を探すために操作が必要な動的シーンでの視覚質問応答(MG-VQA)を提案し、シミュレータとベンチマークを構築、VLMエージェントの性能を評価・微調整する手法を示した。
- GraspGen-X: Cross-Embodiment 6-DOF Diffusion-based Grasping2026/6/1
- Vesta: A Generalist Embodied Reasoning Model2026/6/1
- VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation2026/6/1
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies2026/4/1
- cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots2026/3/1
- Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching2025/12/1
- SpaceTools: Tool-Augmented Spatial Reasoning via Double Interactive RL2025/12/1
- BOP-ASK: Object-Interaction Reasoning for Vision-Language Models2025/11/1
- Robot Policy Evaluation for Sim-to-Real Transfer: A Benchmarking Perspective2025/8/1
- GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training2025/7/1
- OG-VLA: Orthographic Image Generation for 3D-Aware Vision-Language Action Model2025/6/1
- FoundationStereo: Zero-Shot Stereo Matching2025/1/1
- RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics2024/11/1
- SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation2024/11/1
- GRS: Generating Robotic Simulation Tasks from Real-World Images2024/10/1
- Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models2024/9/1
- Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects2024/4/1
- DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation2023/12/1
- FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects2023/12/1
- Diff-DOPE: Differentiable Deep Object Pose Estimation2023/10/1
- HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions2023/8/1
- BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects2023/3/1
- Affordance Diffusion: Synthesizing Hand-Object Interactions2023/3/1
- MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare2022/12/1
- One-Shot Neural Fields for 3D Object Understanding2022/10/1
- Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation2022/10/1
- RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control2022/10/1
- Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation2022/5/1
- 6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark2022/3/1
- PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation2021/9/1
- Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image2021/9/1
- NViSII: A Scriptable Tool for Photorealistic Image Generation2021/5/1
- Multi-View Fusion for Multi-Level Robotic Scene Understanding2021/3/1
- Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs2020/12/1
- Joint Space Control via Deep Reinforcement Learning2020/11/1
- Fast Uncertainty Quantification for Deep Object Pose Estimation2020/11/1
- Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera2020/8/1
- RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies2020/7/1
- MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views2020/6/1
- Camera-to-Robot Pose Estimation from a Single Image2019/11/1
- Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies2019/11/1
- DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System2019/10/1
- Toward Sim-to-Real Directional Semantic Grasping2019/9/1
- RMPflow: A Computational Graph for Automatic Motion Policy Generation2018/11/1
- Robust Learning of Tactile Force Estimation through Robot Interaction2018/10/1
- Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects2018/9/1
- Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations2018/5/1
- Riemannian Motion Policies2018/1/1
- An Energy Minimization Approach to 3D Non-Rigid Deformable Surface Estimation Using RGBD Data2017/8/1
- Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness2017/5/1