Jeannette Bohg
収録論文 113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
- Demystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix Them2026/8/1
- Mixture of Frames Policy: Multi-Frame Action Denoising for Bimanual Mobile Manipulation2026/7/1
- Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?2026/6/1
- CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy2026/6/1
- Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training2026/4/1
- HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations2026/3/1
- SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation2026/2/1
- Are Foundation Models the Route to Full-Stack Transfer in Robotics?2026/2/1
- Robot-Powered Data Flywheels: Deploying Robots in the Wild for Continual Data Collection and Foundation Model Adaptation2025/11/1
- Constraint-Preserving Data Generation for Visuomotor Policy Learning2025/8/1
- Masquerade: Learning from In-the-wild Human Videos using Data-Editing2025/8/1
- Gentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation Learning2025/8/1
- Scaffolding Dexterous Manipulation with Vision-Language Models2025/6/1
- CUPID: Curating Data your Robot Loves with Influence Functions2025/6/1
- HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control2025/6/1
- Vision in Action: Learning Active Perception from Human Demonstrations2025/6/1
- SLAG: Scalable Language-Augmented Gaussian Splatting2025/5/1
- Deformable Cargo Transport in Microgravity with Astrobee2025/5/1
- Mobi-$\pi$: Mobilizing Your Robot Learning Policy2025/5/1
- Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration2025/4/1
- Phantom: Training Robots Without Robots Using Only Human Videos2025/3/1
- Shadow: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer2025/3/1
- DexForce: Extracting Force-informed Actions from Kinesthetic Demonstrations for Dexterous Manipulation2025/1/1
- Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning2025/1/1
- Force-Aware Autonomous Robotic Surgery2025/1/1
- What's the Move? Hybrid Imitation Learning via Salient Points2024/12/1
- TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning2024/12/1
- Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer2024/10/1
- APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs2024/10/1
- Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping2024/10/1
- Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress2024/10/1
- Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics2024/8/1
- EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning2024/7/1
- Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation2024/5/1
- COAST: Constraints and Streams for Task and Motion Planning2024/5/1
- SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty2024/4/1
- RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches2024/3/1
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset2024/3/1
- Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter2024/2/1
- AO-Grasp: Articulated Object Grasp Generation2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning2023/10/1
- EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation2023/10/1
- KITE: Keypoint-Conditioned Policies for Semantic Manipulation2023/6/1
- The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects2023/6/1
- TidyBot: Personalized Robot Assistance with Large Language Models2023/5/1
- Text2Motion: From Natural Language Instructions to Feasible Plans2023/3/1
- CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects2023/3/1
- Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering2022/12/1
- Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks2022/11/1
- Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation2022/11/1
- In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion2022/10/1
- STAP: Sequencing Task-Agnostic Policies2022/10/1
- Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators2022/10/1
- Rethinking Optimization with Differentiable Simulation from a Global Perspective2022/7/1
- Deep Learning Approaches to Grasp Synthesis: A Review2022/7/1
- Category-Independent Articulated Object Tracking with Factor Graphs2022/5/1
- Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations2022/5/1
- ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer2022/4/1
- DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects2022/4/1
- Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks2022/3/1
- A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation2021/12/1
- From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence2021/10/1
- Vision-Only Robot Navigation in a Neural Radiance World2021/10/1
- TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation2021/9/1
- Learning Periodic Tasks from Human Demonstrations2021/9/1
- Grounding Predicates through Actions2021/9/1
- Learning Latent Actions to Control Assistive Robots2021/7/1
- XIRL: Cross-embodiment Inverse Reinforcement Learning2021/6/1
- Differentiable Factor Graph Optimization for Learning Smoothers2021/5/1
- OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation2021/3/1
- Dexterous Manipulation Primitives for the Real Robot Challenge2021/1/1
- Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks2021/1/1
- Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving2020/12/1
- Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors2020/12/1
- How to Train Your Differentiable Filter2020/12/1
- Multimodal Sensor Fusion with Differentiable Filters2020/10/1
- Learning Topological Motion Primitives for Knot Planning2020/9/1
- GRAC: Self-Guided and Self-Regularized Actor-Critic2020/9/1
- Learning User-Preferred Mappings for Intuitive Robot Control2020/7/1
- Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints2020/5/1
- Probabilistic 3D Multi-Object Tracking for Autonomous Driving2020/1/1
- Accurate Vision-based Manipulation through Contact Reasoning2019/11/1
- Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects2019/11/1
- Object-Centric Task and Motion Planning in Dynamic Environments2019/11/1
- Learning to Scaffold the Development of Robotic Manipulation Skills2019/11/1
- Learning Hierarchical Control for Robust In-Hand Manipulation2019/10/1
- UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands2019/10/1
- Learning Task-Oriented Grasping from Human Activity Datasets2019/10/1
- MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences2019/10/1
- Learning from My Partner's Actions: Roles in Decentralized Robot Teams2019/10/1
- Learning an Action-Conditional Model for Haptic Texture Generation2019/9/1
- Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks2019/7/1
- Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks2019/6/1
- Learning Manipulation under Physics Constraints with Visual Perception2019/4/1
- Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks2018/10/1
- Grasp success prediction with quality metrics2018/9/1
- Leveraging Contact Forces for Learning to Grasp2018/9/1
- ClusterNet: 3D Instance Segmentation in RGB-D Images2018/7/1
- Motion-based Object Segmentation based on Dense RGB-D Scene Flow2018/4/1
- Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning2017/11/1
- Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data2017/10/1
- Real-time Perception meets Reactive Motion Generation2017/3/1
- Probabilistic Articulated Real-Time Tracking for Robot Manipulation2016/10/1
- Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets2016/9/1
- Automatic LQR Tuning Based on Gaussian Process Global Optimization2016/5/1
- On the Fundamental Importance of Gauss-Newton in Motion Optimization2016/5/1
- Interactive Perception: Leveraging Action in Perception and Perception in Action2016/4/1
- Depth-Based Object Tracking Using a Robust Gaussian Filter2016/2/1
- Probabilistic Object Tracking using a Range Camera2015/5/1
- The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems2015/5/1
- Policy Learning with Hypothesis based Local Action Selection2015/3/1
- Data-Driven Grasp Synthesis - A Survey2013/9/1