Lukas Schmid

収録論文 14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

• Describe Anything Anywhere At Any Moment
  2025/12/1
• Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes
  2024/6/1
• Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs
  2024/5/1
• Clio: Real-time Task-Driven Open-Set 3D Scene Graphs
  2024/4/1
• Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments
  2024/2/1
• Dynablox: Real-time Detection of Diverse Dynamic Objects in Complex Environments
  2023/4/1
• 3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs
  2022/9/1
• SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning
  2022/8/1
• Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning
  2022/3/1
• Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning
  2022/2/1
• NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping
  2021/10/1
• Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency
  2021/9/1
• A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift
  2020/10/1
• An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
  2019/9/1