Vladlen Koltun
収録論文 32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
- SPEAR: A Simulator for Photorealistic Embodied AI Research2026/7/1
- Robust Autonomy Emerges from Self-Play2025/2/1
- OpenBot-Fleet: A System for Collective Learning with Real Robots2024/5/1
- Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning2023/10/1
- Monocular Visual-Inertial Depth Estimation2023/3/1
- Differentiable Simulation of Soft Multi-body Systems2022/5/1
- Learning robust perceptive locomotion for quadrupedal robots in the wild2022/1/1
- ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception2021/10/1
- Learning High-Speed Flight in the Wild2021/10/1
- Efficient Differentiable Simulation of Articulated Bodies2021/9/1
- Habitat 2.0: Training Home Assistants to Rearrange their Habitat2021/6/1
- Learning to drive from a world on rails2021/5/1
- Self-supervised Geometric Perception2021/3/1
- Rearrangement: A Challenge for Embodied AI2020/11/1
- Learning Quadrupedal Locomotion over Challenging Terrain2020/10/1
- OpenBot: Turning Smartphones into Robots2020/8/1
- Deep Drone Acrobatics2020/6/1
- Learning by Cheating2019/12/1
- Deep Drone Racing: From Simulation to Reality with Domain Randomization2019/5/1
- Does computer vision matter for action?2019/5/1
- Habitat: A Platform for Embodied AI Research2019/4/1
- Learning agile and dynamic motor skills for legged robots2019/1/1
- Benchmarking Classic and Learned Navigation in Complex 3D Environments2019/1/1
- Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing2018/10/1
- On Evaluation of Embodied Navigation Agents2018/7/1
- Deep Drone Racing: Learning Agile Flight in Dynamic Environments2018/6/1
- Driving Policy Transfer via Modularity and Abstraction2018/4/1
- Semi-parametric Topological Memory for Navigation2018/3/1
- Open3D: A Modern Library for 3D Data Processing2018/1/1
- MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments2017/12/1
- CARLA: An Open Urban Driving Simulator2017/11/1
- End-to-end Driving via Conditional Imitation Learning2017/10/1