Antonio Torralba
収録論文 33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
- B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations2026/7/1
- Motion Attribution for Video Generation2026/1/1
- OPENTOUCH: Bringing Full-Hand Touch to Real-World Interaction2025/12/1
- Adaptive Length Image Tokenization via Recurrent Allocation2024/11/1
- ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning2023/9/1
- Follow Anything: Open-set detection, tracking, and following in real-time2023/8/1
- FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation2023/3/1
- ConceptFusion: Open-set Multimodal 3D Mapping2023/2/1
- NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants2023/1/1
- Finding Fallen Objects Via Asynchronous Audio-Visual Integration2022/7/1
- Virtual Correspondence: Humans as a Cue for Extreme-View Geometry2022/6/1
- ComPhy: Compositional Physical Reasoning of Objects and Events from Videos2022/5/1
- Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction2022/5/1
- Correcting Robot Plans with Natural Language Feedback2022/4/1
- Learning Neural Acoustic Fields2022/4/1
- Learning to Compose Visual Relations2021/11/1
- OPEn: An Open-ended Physics Environment for Learning Without a Task2021/10/1
- Skill Induction and Planning with Latent Language2021/10/1
- Dynamic Modeling of Hand-Object Interactions via Tactile Sensing2021/9/1
- 3D Neural Scene Representations for Visuomotor Control2021/7/1
- DriveGAN: Towards a Controllable High-Quality Neural Simulation2021/4/1
- BARF: Bundle-Adjusting Neural Radiance Fields2021/4/1
- Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales2021/4/1
- The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI2021/3/1
- Deep Feedback Inverse Problem Solver2021/1/1
- ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation2020/7/1
- Noisy Agents: Self-supervised Exploration by Predicting Auditory Events2020/7/1
- Learning Compositional Koopman Operators for Model-Based Control2019/10/1
- Connecting Touch and Vision via Cross-Modal Prediction2019/6/1
- Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids2018/10/1
- Propagation Networks for Model-Based Control Under Partial Observation2018/9/1
- Real-Time Object Pose Estimation with Pose Interpreter Networks2018/8/1
- SegICP: Integrated Deep Semantic Segmentation and Pose Estimation2017/3/1