Tim Verbelen
収録論文 25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
- Online Structure Learning and Planning for Autonomous Robot Navigation using Active Inference2025/10/1
- Navigation and Exploration with Active Inference: from Biology to Industry2025/8/1
- Bio-Inspired Topological Autonomous Navigation with Active Inference in Robotics2025/8/1
- Mobile Manipulation with Active Inference for Long-Horizon Rearrangement Tasks2025/7/1
- Towards smart and adaptive agents for active sensing on edge devices2025/1/1
- Learning Dynamic Cognitive Map with Autonomous Navigation2024/11/1
- Representing Positional Information in Generative World Models for Object Manipulation2024/9/1
- Exploring and Learning Structure: Active Inference Approach in Navigational Agents2024/8/1
- GenRL: Multimodal-foundation world models for generalization in embodied agents2024/6/1
- Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment2023/12/1
- Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly2023/8/1
- FOCUS: Object-Centric World Models for Robotics Manipulation2023/7/1
- Symmetry and Complexity in Object-Centric Deep Active Inference Models2023/4/1
- Object-Centric Scene Representations using Active Inference2023/2/1
- FMCW Radar Sensing for Indoor Drones Using Learned Representations2023/1/1
- Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning2022/10/1
- Disentangling Shape and Pose for Object-Centric Deep Active Inference Models2022/9/1
- Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes2022/8/1
- Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach2021/9/1
- A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance2021/7/1
- Towards bio-inspired unsupervised representation learning for indoor aerial navigation2021/6/1
- LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping2021/5/1
- Learning to Catch Piglets in Flight2020/1/1
- Learning to Grasp from a Single Demonstration2018/6/1
- Sensor Fusion for Robot Control through Deep Reinforcement Learning2017/3/1