Gerhard Neumann
収録論文 66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
- RayViT: Ray-Conditioned Visual Representations for Viewpoint-Robust Imitation Learning2026/7/1
- VLA-FAIL: Efficient Task Failure Detection for Finetuned Vision-Language-Action Models2026/6/19
- PAWS: Preference Learning with Advantage-Weighted Segments2026/6/10
- Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom2026/6/1
- Fourier Features Let Agents Learn High Precision Policies with Imitation Learning2026/6/1
- Nautilus: From One Prompt to Plug-and-Play Robot Learning2026/5/1
- Agentic Language-to-Objective Synthesis for Optofluidic Assembly2026/5/1
- A Multi-View 3D Telepresence System for XR Robot Teleoperation2026/4/1
- Robot-DIFT: Correspondence-Sensitive Diffusion Features for Contact-Rich Robot Manipulation2026/2/1
- Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning2025/11/1
- Towards a Multi-Embodied Grasping Agent2025/10/1
- PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning2025/10/1
- Scaffolding Dexterous Manipulation with Vision-Language Models2025/6/1
- Beyond Task Performance: Human Experience in Human-Robot Collaboration2025/5/1
- Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection2025/3/1
- IRIS: An Immersive Robot Interaction System2025/2/1
- X-IL: Exploring the Design Space of Imitation Learning Policies2025/2/1
- Towards Fusing Point Cloud and Visual Representations for Imitation Learning2025/2/1
- Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects2025/2/1
- Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation2024/11/1
- Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions2024/11/1
- BMP: Bridging the Gap between B-Spline and Movement Primitives2024/11/1
- A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics2024/11/1
- TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning2024/10/1
- Diffusion for Multi-Embodiment Grasping2024/10/1
- PointPatchRL -- Masked Reconstruction Improves Reinforcement Learning on Point Clouds2024/10/1
- MuTT: A Multimodal Trajectory Transformer for Robot Skills2024/7/1
- MaIL: Improving Imitation Learning with Mamba2024/6/1
- Variational Distillation of Diffusion Policies into Mixture of Experts2024/6/1
- Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts2024/3/1
- Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations2024/2/1
- Neural Contractive Dynamical Systems2024/1/1
- Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning2024/1/1
- Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming2023/12/1
- Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects2023/12/1
- SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects2023/8/1
- DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes2023/8/1
- MP3: Movement Primitive-Based (Re-)Planning Policy2023/6/1
- LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery2023/2/1
- Grounding Graph Network Simulators using Physical Sensor Observations2023/2/1
- Deep Black-Box Reinforcement Learning with Movement Primitives2022/10/1
- Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors2022/10/1
- ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives2022/10/1
- A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models2022/9/1
- Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination2022/8/1
- Category-Agnostic 6D Pose Estimation with Conditional Neural Processes2022/6/1
- Meta-Learning Regrasping Strategies for Physical-Agnostic Objects2022/5/1
- End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control2022/5/1
- Reactive Motion Generation on Learned Riemannian Manifolds2022/3/1
- Hierarchical Policy Learning for Mechanical Search2022/2/1
- Specializing Versatile Skill Libraries using Local Mixture of Experts2021/12/1
- Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning2021/10/1
- A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning2021/8/1
- Navigate-and-Seek: a Robotics Framework for People Localization in Agricultural Environments2021/7/1
- Differentiable Robust LQR Layers2021/6/1
- Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty2021/6/1
- Learning Riemannian Manifolds for Geodesic Motion Skills2021/6/1
- Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning2020/10/1
- Non-Adversarial Imitation Learning and its Connections to Adversarial Methods2020/8/1
- Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space2020/8/1
- Probabilistic approach to physical object disentangling2020/2/1
- An Algorithmic Perspective on Imitation Learning2018/11/1
- Adaptation and Robust Learning of Probabilistic Movement Primitives2018/8/1
- Agricultural Robotics: The Future of Robotic Agriculture2018/6/1
- Hybrid control trajectory optimization under uncertainty2017/2/1
- Model-Free Trajectory-based Policy Optimization with Monotonic Improvement2016/6/1