Tucker Hermans
収録論文 61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
- Continuum Robot State Estimation with Actuation Uncertainty2026/1/1
- Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification2025/10/18
- Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification2025/10/1
- The Reality Gap in Robotics: Challenges, Solutions, and Best Practices2025/10/1
- First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines2025/9/1
- Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference2025/9/1
- DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model2025/6/1
- Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification2025/6/1
- 23 DoF Grasping Policies from a Raw Point Cloud2024/11/1
- Robust Bayesian Scene Reconstruction with Retrieval-Augmented Priors for Precise Grasping and Planning2024/11/1
- Differentiable GPU-Parallelized Task and Motion Planning2024/11/1
- Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics2024/8/1
- DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics2024/7/1
- Composable Part-Based Manipulation2024/5/1
- Point Cloud Models Improve Visual Robustness in Robotic Learners2024/4/1
- V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes2024/3/1
- Pick and Place Planning is Better than Pick Planning then Place Planning2024/1/1
- DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object Manipulation2023/9/1
- Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models2023/9/1
- DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects2023/5/1
- Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers2023/5/1
- DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets2023/3/1
- Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch2022/12/1
- StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects2022/11/1
- Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers2022/9/1
- Occlusion-Robust Multi-Sensory Posture Estimation in Physical Human-Robot Interaction2022/8/1
- DULA and DEBA: Differentiable Ergonomic Risk Models for Postural Assessment and Optimization in Ergonomically Intelligent pHRI2022/5/1
- Correcting Robot Plans with Natural Language Feedback2022/4/1
- DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects2022/3/1
- L4KDE: Learning for KinoDynamic Tree Expansion2022/3/1
- Toward Learning Context-Dependent Tasks from Demonstration for Tendon-Driven Surgical Robots2021/10/1
- Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds2021/10/1
- Planning Sensing Sequences for Subsurface 3D Tumor Mapping2021/10/1
- StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects2021/10/1
- Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization2021/8/1
- Parallelised Diffeomorphic Sampling-based Motion Planning2021/8/1
- Predicting Stable Configurations for Semantic Placement of Novel Objects2021/8/1
- DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation2021/7/1
- DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI2021/7/1
- DefGraspSim: Simulation-based grasping of 3D deformable objects2021/7/1
- Comparing Piezoresistive Substrates for Tactile Sensing in Dexterous Hands2020/11/1
- Planning under Uncertainty to Goal Distributions2020/11/1
- Risk-Aware Decision Making in Service Robots to Minimize Risk of Patient Falls in Hospitals2020/10/1
- Multi-Fingered Active Grasp Learning2020/6/1
- In-Hand Object-Dynamics Inference using Tactile Fingertips2020/3/1
- Is The Leader Robot an Adequate Sensor for Posture Estimation and Ergonomic Assessment of A Human Teleoperator?2020/2/1
- Multi-Fingered Grasp Planning via Inference in Deep Neural Networks2020/1/1
- Benchmarking In-Hand Manipulation2020/1/1
- A Model Predictive Approach for Online Mobile Manipulation of Nonholonomic Objects using Learned Dynamics2019/12/1
- Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies2019/11/1
- Learning Continuous 3D Reconstructions for Geometrically Aware Grasping2019/10/1
- Learning to Manipulate Object Collections Using Grounded State Representations2019/9/1
- Assembly Planning by Subassembly Decomposition Using Blocking Reduction2019/7/1
- Active Learning of Probabilistic Movement Primitives2019/7/1
- Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization2019/5/1
- Modeling Grasp Type Improves Learning-Based Grasp Planning2019/1/1
- Learning Task Constraints from Demonstration for Hybrid Force/Position Control2018/11/1
- Robust Learning of Tactile Force Estimation through Robot Interaction2018/10/1
- Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation2018/6/1
- Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation2018/4/1
- Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network2018/4/1