Elmar Rueckert

収録論文 24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

• SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation
  2026/5/1
• SIL: Symbiotic Interactive Learning for Language-Conditioned Human-Agent Co-Adaptation
  2025/11/1
• Real-Time 3D Vision-Language Embedding Mapping
  2025/8/1
• ReLI: A Language-Agnostic Approach to Human-Robot Interaction
  2025/5/1
• EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial Awareness and Semantic Reasoning in Heterogeneous Environments
  2024/10/1
• Multimodal Human-Autonomous Agents Interaction Using Pre-Trained Language and Visual Foundation Models
  2024/3/1
• The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language
  2024/1/1
• Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
  2024/1/1
• Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
  2024/1/1
• M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
  2024/1/1
• Understanding why SLAM algorithms fail in modern indoor environments
  2023/5/1
• ROMR: A ROS-based Open-source Mobile Robot
  2022/10/1
• Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
  2022/2/1
• Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation
  2021/7/1
• SKID RAW: Skill Discovery from Raw Trajectories
  2021/3/1
• ROS-Mobile: An Android application for the Robot Operating System
  2020/11/1
• Parameter Optimization for Loop Closure Detection in Closed Environments
  2020/11/1
• Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors
  2019/8/1
• Experience Reuse with Probabilistic Movement Primitives
  2019/8/1
• Loop Closure Detection in Closed Environments
  2019/8/1
• Learning walk and trot from the same objective using different types of exploration
  2019/4/1
• Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
  2018/3/1
• Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
  2018/2/1
• Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations
  2015/10/1