Linh Kästner
Singapore Management University
収録論文 24本 ・ フィジカルAI/ロボット学習
シミュレーション環境生成
※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
- D3D-GEN: ソーシャルロボティクスのためのロボット認識・ドメイン接地型インタラクティブ3Dワールド生成シミュレーション環境生成2026/8/12
ドメイン知識の自動収集とRAGパイプラインを用いて、ユーザーのプロンプトから現実的でインタラクティブな3Dシミュレーション環境を生成するシステムを提案。
- D3D-GEN: Robot-Aware Domain-Grounded Interactive 3D World Generation for Social Robotics2026/8/1
- GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation2026/6/1
- Change-Robust Online Spatial-Semantic Topological Mapping2026/5/1
- Arena 4.0: A Comprehensive ROS2 Development and Benchmarking Platform for Human-centric Navigation Using Generative-Model-based Environment Generation2024/9/1
- Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments2024/6/1
- Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles2023/4/1
- Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments2023/2/1
- Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches2023/2/1
- Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems2023/2/1
- Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation2023/1/1
- Human-Following and -guiding in Crowded Environments using Semantic Deep-Reinforcement-Learning for Mobile Service Robots2022/6/1
- Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments2022/6/1
- Imagination-augmented Navigation Based on 2D Laser Sensor Observations2022/6/1
- Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation2021/9/1
- All-in-One: A DRL-based Control Switch Combining State-of-the-art Navigation Planners2021/9/1
- Obstacle-aware Waypoint Generation for Long-range Guidance of Deep-Reinforcement-Learning-based Navigation Approaches2021/9/1
- Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems2021/4/1
- Spatial Imagination With Semantic Cognition for Mobile Robots2021/4/1
- Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators2021/4/1
- Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments2020/8/1
- A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data2020/1/1
- A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data2019/12/1
- Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens -- Possibilities and Limitations2019/12/1