Suraj Nair
収録論文 31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
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities2026/4/1
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models2026/3/1
- Emergence of Human to Robot Transfer in Vision-Language-Action Models2025/12/1
- $π^{*}_{0.6}$: a VLA That Learns From Experience2025/11/18
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience2025/11/1
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/1
- FAST: Efficient Action Tokenization for Vision-Language-Action Models2025/1/1
- π0: A Vision-Language-Action Flow Model for General Robot Control2024/10/1
- GHIL-Glue: Hierarchical Control with Filtered Subgoal Images2024/10/1
- OpenVLA: An Open-Source Vision-Language-Action Model2024/6/1
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset2024/3/1
- From Propeller Damage Estimation and Adaptation to Fault Tolerant Control: Enhancing Quadrotor Resilience2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets2023/4/1
- Language-Driven Representation Learning for Robotics2023/2/1
- Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning2022/5/1
- R3M: A Universal Visual Representation for Robot Manipulation2022/3/1
- MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance2021/12/1
- Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks2021/9/1
- Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation2021/9/1
- Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction2021/3/1
- Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos2021/3/1
- Model-Based Visual Planning with Self-Supervised Functional Distances2020/12/1
- Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones2020/10/1
- Batch Exploration with Examples for Scalable Robotic Reinforcement Learning2020/10/1
- Goal-Aware Prediction: Learning to Model What Matters2020/7/1
- RoboNet: Large-Scale Multi-Robot Learning2019/10/1
- Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation2019/9/1
- Time Reversal as Self-Supervision2018/10/1
- Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration2018/7/1
- Neural Task Programming: Learning to Generalize Across Hierarchical Tasks2017/10/1