Ali Farhadi
収録論文 26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
- MolmoAct2: Action Reasoning Models for Real-world Deployment2026/5/1
- MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation2026/3/1
- Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos2026/2/1
- MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation2026/2/1
- MolmoAct: Action Reasoning Models that can Reason in Space2025/8/1
- Convergent Functions, Divergent Forms2025/5/1
- DRAWER: Digital Reconstruction and Articulation With Environment Realism2025/4/1
- The One RING: a Robotic Indoor Navigation Generalist2024/12/1
- Learning to Build by Building Your Own Instructions2024/10/1
- FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning2024/9/1
- Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics2023/4/1
- Objaverse: A Universe of Annotated 3D Objects2022/12/1
- Phone2Proc: Bringing Robust Robots Into Our Chaotic World2022/12/1
- Self-Supervised Object Goal Navigation with In-Situ Finetuning2022/12/1
- SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning2022/9/1
- ProcTHOR: Large-Scale Embodied AI Using Procedural Generation2022/6/1
- Object Manipulation via Visual Target Localization2022/3/1
- LanguageRefer: Spatial-Language Model for 3D Visual Grounding2021/7/1
- Pushing it out of the Way: Interactive Visual Navigation2021/4/1
- RoboTHOR: An Open Simulation-to-Real Embodied AI Platform2020/4/1
- Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects2020/3/1
- Conditional Driving from Natural Language Instructions2019/10/1
- Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning2018/12/1
- Visual Semantic Navigation using Scene Priors2018/10/1
- Visual Semantic Planning using Deep Successor Representations2017/5/1
- You Only Look Once: Unified, Real-Time Object Detection2015/6/1