Yuke Zhu
収録論文 134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
- RoboTTT: Context Scaling for Robot Policies2026/7/16
- Beyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering2026/7/1
- Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration2026/7/1
- ASPIRE: Agentic /Skills Discovery for Robotics2026/7/1
- B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations2026/7/1
- GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks2026/7/1
- RoboTTT: Context Scaling for Robot Policies2026/7/1
- SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation2026/6/1
- Memory Retrieval in Visuomotor Policies for Long-Horizon Robot Control2026/6/1
- Cosmos 3: Omnimodal World Models for Physical AI2026/6/1
- T-Rex: Tactile-Reactive Dexterous Manipulation2026/6/1
- Vesta: A Generalist Embodied Reasoning Model2026/6/1
- Contrastive Action-Image Pre-training for Visuomotor Control2026/6/1
- Scaling Short-Term Memory of Visuomotor Policies for Long-Horizon Tasks2026/6/1
- GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors2026/6/1
- HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning2026/5/1
- A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies2026/4/1
- MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives2026/4/1
- Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning2026/3/4
- Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning2026/3/1
- ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning2026/3/1
- CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation2026/3/1
- RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots2026/3/1
- SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation2026/3/1
- World Action Models are Zero-shot Policies2026/2/17
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos2026/2/1
- World Action Models are Zero-shot Policies2026/2/1
- EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data2026/2/1
- Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer2025/12/1
- CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation2025/12/1
- Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning2025/11/1
- SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control2025/11/1
- World Simulation with Video Foundation Models for Physical AI2025/11/1
- VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation2025/11/1
- LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models2025/11/1
- Self-Improving Vision-Language-Action Models with Data Generation via Residual RL2025/11/1
- DEAS: DEtached value learning with Action Sequence for Scalable Offline RL2025/10/1
- Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications2025/10/1
- MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos2025/9/1
- Constraint-Preserving Data Generation for Visuomotor Policy Learning2025/8/1
- FORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation2025/6/1
- Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models2025/6/1
- DreamGen: Unlocking Generalization in Robot Learning through Video World Models2025/5/1
- Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning2025/5/1
- GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation2025/5/1
- SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning2025/5/1
- FLARE: Robot Learning with Implicit World Modeling2025/5/1
- Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation2025/3/1
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots2025/3/1
- Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids2025/2/1
- ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills2025/2/1
- Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning2025/1/1
- LEGATO: Cross-Embodiment Imitation Using a Grasping Tool2024/11/1
- SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation2024/11/1
- RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation2024/11/1
- BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation2024/10/1
- HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots2024/10/1
- DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning2024/10/1
- Multi-Task Interactive Robot Fleet Learning with Visual World Models2024/10/1
- One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation2024/10/1
- Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions2024/10/1
- OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation2024/10/1
- PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation2024/9/1
- KinScene: Model-Based Mobile Manipulation of Articulated Scenes2024/9/1
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots2024/6/1
- ARDuP: Active Region Video Diffusion for Universal Policies2024/6/1
- DrEureka: Language Model Guided Sim-To-Real Transfer2024/6/1
- Vision-based Manipulation from Single Human Video with Open-World Object Graphs2024/5/1
- InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning2024/5/1
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset2024/3/1
- PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning2024/3/1
- PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs2024/2/1
- Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning2024/1/1
- Foundation Models in Robotics: Applications, Challenges, and the Future2023/12/1
- LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery2023/11/1
- MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations2023/10/1
- Eureka: Human-Level Reward Design via Coding Large Language Models2023/10/1
- Model-Based Runtime Monitoring with Interactive Imitation Learning2023/10/1
- Interactive Robot Learning from Verbal Correction2023/10/1
- Learning Generalizable Manipulation Policies with Object-Centric 3D Representations2023/10/1
- Cross-Episodic Curriculum for Transformer Agents2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow2023/9/1
- MUTEX: Learning Unified Policies from Multimodal Task Specifications2023/9/1
- Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation2023/9/1
- Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning2023/7/1
- Granger Causal Interaction Skill Chains2023/6/1
- MimicPlay: Long-Horizon Imitation Learning by Watching Human Play2023/2/1
- Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception2023/2/1
- Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment2022/11/1
- VIMA: General Robot Manipulation with Multimodal Prompts2022/10/1
- VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors2022/10/1
- Learning and Retrieval from Prior Data for Skill-based Imitation Learning2022/10/1
- Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments2022/9/1
- COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles2022/5/1
- ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation2022/3/1
- Ditto: Building Digital Twins of Articulated Objects from Interaction2022/2/1
- Visually Grounded Task and Motion Planning for Mobile Manipulation2022/2/1
- Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization2021/11/1
- OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation2021/10/1
- Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks2021/10/1
- Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation2021/9/1
- What Matters in Learning from Offline Human Demonstrations for Robot Manipulation2021/8/1
- SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies2021/6/1
- Discovering Generalizable Skills via Automated Generation of Diverse Tasks2021/6/1
- Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations2021/4/1
- Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects2020/12/1
- Learning Multi-Arm Manipulation Through Collaborative Teleoperation2020/12/1
- Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors2020/12/1
- Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs2020/12/1
- Human-in-the-Loop Imitation Learning using Remote Teleoperation2020/12/1
- Fast Uncertainty Quantification for Deep Object Pose Estimation2020/11/1
- Deep Affordance Foresight: Planning Through What Can Be Done in the Future2020/11/1
- Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion2020/9/1
- robosuite: A Modular Simulation Framework and Benchmark for Robot Learning2020/9/1
- Adaptive Procedural Task Generation for Hard-Exploration Problems2020/7/1
- Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity2019/11/1
- Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation2019/10/1
- 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints2019/10/1
- KETO: Learning Keypoint Representations for Tool Manipulation2019/10/1
- SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning2019/9/1
- DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs2019/9/1
- Regression Planning Networks2019/9/1
- Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning2019/8/1
- Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks2019/7/1
- DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion2019/1/1
- RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation2018/11/1
- Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks2018/10/1
- Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration2018/7/1
- Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision2018/6/1
- Reinforcement and Imitation Learning for Diverse Visuomotor Skills2018/2/1
- Neural Task Programming: Learning to Generalize Across Hierarchical Tasks2017/10/1
- ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems2017/7/1
- Visual Semantic Planning using Deep Successor Representations2017/5/1