Niko Sünderhauf

収録論文 36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

• Multi-Modal 3D Scene Graph Updater for Shared and Dynamic Environments
  2024/11/1
• Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics
  2024/6/1
• RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
  2024/5/1
• LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments
  2023/12/1
• Contrastive Language, Action, and State Pre-training for Robot Learning
  2023/4/1
• Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
  2022/11/1
• ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields
  2022/11/1
• Implicit Object Mapping With Noisy Data
  2022/4/1
• Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
  2021/12/1
• A Holistic Approach to Reactive Mobile Manipulation
  2021/9/1
• Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM
  2021/9/1
• FSNet: A Failure Detection Framework for Semantic Segmentation
  2021/8/1
• Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
  2021/7/1
• Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness
  2021/7/1
• Probabilistic Visual Place Recognition for Hierarchical Localization
  2021/5/1
• Uncertainty for Identifying Open-Set Errors in Visual Object Detection
  2021/4/1
• Semantics for Robotic Mapping, Perception and Interaction: A Survey
  2021/1/1
• The Robotic Vision Scene Understanding Challenge
  2020/9/1
• BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
  2020/8/1
• Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer
  2020/3/1
• What can robotics research learn from computer vision research?
  2020/1/1
• Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
  2019/9/1
• Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks
  2019/9/1
• The Probabilistic Object Detection Challenge
  2019/3/1
• An Orientation Factor for Object-Oriented SLAM
  2018/9/1
• Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
  2018/7/1
• The Limits and Potentials of Deep Learning for Robotics
  2018/4/1
• QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM
  2018/4/1
• Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
  2017/11/1
• SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
  2017/9/1
• Dual Quadrics from Object Detection BoundingBoxes as Landmark Representations in SLAM
  2017/8/1
• Multi-Modal Trip Hazard Affordance Detection On Construction Sites
  2017/6/1
• What Would You Do? Acting by Learning to Predict
  2017/3/1
• Meaningful Maps With Object-Oriented Semantic Mapping
  2016/9/1
• Place Categorization and Semantic Mapping on a Mobile Robot
  2015/7/1
• On the Performance of ConvNet Features for Place Recognition
  2015/1/1