Rudolph Triebel

収録論文 35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

• Trinity: Unifying Class-Agnostic Terrain and Semantic Segmentation for Unstructured Outdoor Environments by Leveraging Synthetic Data
  2026/5/1
• SPIRIT: Perceptive Shared Autonomy for Robust Robotic Manipulation under Deep Learning Uncertainty
  2026/3/1
• Tracing Back Error Sources to Explain and Mitigate Pose Estimation Failures
  2026/3/1
• Markerless Robot Detection and 6D Pose Estimation for Multi-Agent SLAM
  2026/2/1
• The S3LI Vulcano Dataset: A Dataset for Multi-Modal SLAM in Unstructured Planetary Environments
  2026/1/1
• Human-Interpretable Uncertainty Explanations for Point Cloud Registration
  2025/9/1
• CLEVER: Stream-based Active Learning for Robust Semantic Perception from Human Instructions
  2025/7/1
• Towards Explaining Uncertainty Estimates in Point Cloud Registration
  2024/12/1
• A Learning-based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand
  2024/9/1
• FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference
  2024/7/1
• Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments
  2024/3/1
• Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
  2023/11/1
• Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly
  2023/7/1
• 6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics
  2023/3/1
• Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning
  2023/3/1
• Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities
  2022/10/1
• Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset
  2022/7/1
• Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
  2021/10/1
• Bayesian Active Learning for Sim-to-Real Robotic Perception
  2021/9/1
• Making Curiosity Explicit in Vision-based RL
  2021/9/1
• Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks
  2021/9/1
• Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
  2021/9/1
• Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
  2021/9/1
• GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
  2021/9/1
• Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps
  2021/5/1
• Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
  2021/3/1
• Learning to Localize in New Environments from Synthetic Training Data
  2020/11/1
• Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
  2020/10/1
• Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
  2020/9/1
• Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
  2020/7/1
• Estimating Model Uncertainty of Neural Networks in Sparse Information Form
  2020/6/1
• Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks
  2020/6/1
• Visual-Inertial Telepresence for Aerial Manipulation
  2020/3/1
• Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
  2020/2/1
• Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks
  2016/12/1