Pieter Abbeel
収録論文 205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
- LadderMan: Learning Humanoid Perceptive Ladder Climbing2026/6/1
- Scalable Behavior Cloning with Open Data, Training, and Evaluation2026/6/1
- T-Rex: Tactile-Reactive Dexterous Manipulation2026/6/1
- Do as I Do: Dexterous Manipulation Data from Everyday Human Videos2026/6/1
- VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes2026/6/1
- Mana: Dexterous Manipulation of Articulated Tools2026/6/1
- SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation2026/6/1
- World Model for Robot Learning: A Comprehensive Survey2026/5/1
- How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference2026/3/1
- Cross-Hand Latent Representation for Vision-Language-Action Models2026/3/1
- D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping2026/3/1
- Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching2026/2/17
- RPL: Learning Robust Humanoid Perceptive Locomotion on Challenging Terrains2026/2/1
- Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching2026/2/1
- Flow Policy Gradients for Robot Control2026/2/1
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos2026/2/1
- Contact-Aware Neural Dynamics2026/1/1
- mjlab: A Lightweight Framework for GPU-Accelerated Robot Learning2026/1/1
- Learning Sim-to-Real Humanoid Locomotion in 15 Minutes2025/12/1
- Learning Sim-to-Real Humanoid Locomotion in 15 Minutes2025/12/1
- Large Video Planner Enables Generalizable Robot Control2025/12/1
- TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System2025/11/4
- DIPOLE: Fusing Vision and Geometry for Robust Visuomotor Generalization2025/11/1
- EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations2025/11/1
- TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System2025/11/1
- Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields2025/11/1
- Learning to Design Soft Hands using Reward Models2025/10/1
- GaussGym: An open-source real-to-sim framework for learning locomotion from pixels2025/10/1
- ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning2025/10/1
- End-to-end RL Improves Dexterous Grasping Policies2025/9/1
- SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation2025/9/1
- Residual Off-Policy RL for Finetuning Behavior Cloning Policies2025/9/1
- OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction2025/9/1
- Deep Sensorimotor Control by Imitating Predictive Models of Human Motion2025/8/1
- The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio2025/7/1
- Feel the Force: Contact-Driven Learning from Humans2025/6/1
- ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation2025/6/1
- Rodrigues Network for Learning Robot Actions2025/6/1
- Object-centric 3D Motion Field for Robot Learning from Human Videos2025/6/1
- SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending2025/6/1
- FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control2025/5/1
- Visual Imitation Enables Contextual Humanoid Control2025/5/1
- EgoZero: Robot Learning from Smart Glasses2025/5/1
- DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy2025/5/1
- RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning2025/4/1
- ViTaMIn: Learning Contact-Rich Tasks Through Robot-Free Visuo-Tactile Manipulation Interface2025/4/1
- RoboCopilot: Human-in-the-loop Interactive Imitation Learning for Robot Manipulation2025/3/1
- OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction2025/3/1
- Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm2025/3/1
- Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos2025/2/1
- MuJoCo Playground2025/2/1
- DexterityGen: Foundation Controller for Unprecedented Dexterity2025/2/1
- Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding2025/1/1
- MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization2024/12/1
- Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning2024/11/1
- Hand-Object Interaction Pretraining from Videos2024/9/1
- Body Transformer: Leveraging Robot Embodiment for Policy Learning2024/8/1
- Offline Imitation Learning Through Graph Search and Retrieval2024/7/1
- Visual Representation Learning with Stochastic Frame Prediction2024/6/1
- From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control2024/5/1
- HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation2024/3/1
- Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs2024/3/1
- Twisting Lids Off with Two Hands2024/3/1
- MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting2024/3/1
- Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control2024/1/1
- FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning2024/1/1
- Any-point Trajectory Modeling for Policy Learning2024/1/1
- The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning2023/11/1
- DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing2023/11/1
- Video Language Planning2023/10/1
- Interactive Task Planning with Language Models2023/10/1
- Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators2023/9/1
- Language-Conditioned Path Planning2023/8/1
- The Impact of Overall Optimization on Warehouse Automation2023/8/1
- Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects2023/8/1
- SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks2023/7/1
- Train Offline, Test Online: A Real Robot Learning Benchmark2023/6/1
- ALP: Action-Aware Embodied Learning for Perception2023/6/1
- Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN2023/5/1
- Self-Supervised Instance Segmentation by Grasping2023/5/1
- RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning2023/4/1
- Preference Transformer: Modeling Human Preferences using Transformers for RL2023/3/1
- Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?2023/3/1
- Robust and Versatile Bipedal Jumping Control through Reinforcement Learning2023/2/1
- Multi-View Masked World Models for Visual Robotic Manipulation2023/2/1
- Controllability-Aware Unsupervised Skill Discovery2023/2/1
- StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS2022/11/1
- Instruction-Following Agents with Multimodal Transformer2022/10/1
- Skill-Based Reinforcement Learning with Intrinsic Reward Matching2022/10/1
- Real-World Robot Learning with Masked Visual Pre-training2022/10/1
- Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision2022/6/1
- Masked World Models for Visual Control2022/6/1
- DayDreamer: World Models for Physical Robot Learning2022/6/1
- Deep Hierarchical Planning from Pixels2022/6/1
- On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning2022/6/1
- Coarse-to-Fine Q-attention with Learned Path Ranking2022/4/1
- Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking2022/4/1
- Coarse-to-fine Q-attention with Tree Expansion2022/4/1
- Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions2022/3/1
- Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning2022/2/1
- Explaining Reinforcement Learning Policies through Counterfactual Trajectories2022/1/1
- Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents2022/1/1
- Mastering Atari Games with Limited Data2021/11/1
- Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning2021/11/1
- Towards More Generalizable One-shot Visual Imitation Learning2021/10/1
- URLB: Unsupervised Reinforcement Learning Benchmark2021/10/1
- Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback2021/8/1
- Playful Interactions for Representation Learning2021/7/1
- Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble2021/7/1
- Hierarchical Few-Shot Imitation with Skill Transition Models2021/7/1
- Unsupervised Learning of Visual 3D Keypoints for Control2021/6/1
- Auto-Tuned Sim-to-Real Transfer2021/4/1
- Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots2021/3/1
- Task-Agnostic Morphology Evolution2021/2/1
- Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation2020/12/1
- Reset-Free Lifelong Learning with Skill-Space Planning2020/12/1
- LaND: Learning to Navigate from Disengagements2020/10/1
- Visual Imitation Made Easy2020/8/1
- Robust Reinforcement Learning using Adversarial Populations2020/8/1
- Self-Supervised Policy Adaptation during Deployment2020/7/1
- Automatic Curriculum Learning through Value Disagreement2020/6/1
- AvE: Assistance via Empowerment2020/6/1
- Planning to Explore via Self-Supervised World Models2020/5/1
- Learning Predictive Representations for Deformable Objects Using Contrastive Estimation2020/3/1
- Sparse Graphical Memory for Robust Planning2020/3/1
- Hierarchically Decoupled Imitation for Morphological Transfer2020/3/1
- BADGR: An Autonomous Self-Supervised Learning-Based Navigation System2020/2/1
- Generalized Hindsight for Reinforcement Learning2020/2/1
- Hallucinative Topological Memory for Zero-Shot Visual Planning2020/2/1
- Learning Efficient Representation for Intrinsic Motivation2019/12/1
- Adaptive Online Planning for Continual Lifelong Learning2019/12/1
- AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos2019/12/1
- Asynchronous Methods for Model-Based Reinforcement Learning2019/10/1
- Learning to Manipulate Deformable Objects without Demonstrations2019/10/1
- Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control2019/10/1
- DoorGym: A Scalable Door Opening Environment And Baseline Agent2019/8/1
- Benchmarking Model-Based Reinforcement Learning2019/7/1
- Learning Robotic Manipulation through Visual Planning and Acting2019/5/1
- Guided Meta-Policy Search2019/4/1
- Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation2019/4/1
- Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly2019/3/1
- Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight2019/2/1
- Soft Actor-Critic Algorithms and Applications2018/12/1
- An Algorithmic Perspective on Imitation Learning2018/11/1
- One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks2018/10/1
- Establishing Appropriate Trust via Critical States2018/10/1
- Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation2018/10/1
- SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning2018/8/1
- Learning Plannable Representations with Causal InfoGAN2018/7/1
- The Limits and Potentials of Deep Learning for Robotics2018/4/1
- Stochastic Adversarial Video Prediction2018/4/1
- Universal Planning Networks2018/4/1
- Learning Robotic Assembly from CAD2018/3/1
- Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning2018/3/1
- Composable Deep Reinforcement Learning for Robotic Manipulation2018/3/1
- Model-Ensemble Trust-Region Policy Optimization2018/2/1
- One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning2018/2/1
- Sim-to-Real Transfer of Robotic Control with Dynamics Randomization2017/10/1
- Domain Randomization and Generative Models for Robotic Grasping2017/10/1
- Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation2017/10/1
- Asymmetric Actor Critic for Image-Based Robot Learning2017/10/1
- One-Shot Visual Imitation Learning via Meta-Learning2017/9/1
- Overcoming Exploration in Reinforcement Learning with Demonstrations2017/9/1
- Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation2017/9/1
- Deep Object-Centric Representations for Generalizable Robot Learning2017/8/1
- Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation2017/7/1
- Hindsight Experience Replay2017/7/1
- Reverse Curriculum Generation for Reinforcement Learning2017/7/1
- Parameter Space Noise for Exploration2017/6/1
- Probabilistically Safe Policy Transfer2017/5/1
- Automatic Goal Generation for Reinforcement Learning Agents2017/5/1
- Stochastic Neural Networks for Hierarchical Reinforcement Learning2017/4/1
- Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning2017/3/1
- One-Shot Imitation Learning2017/3/1
- Prediction and Control with Temporal Segment Models2017/3/1
- Learning Visual Servoing with Deep Features and Fitted Q-Iteration2017/3/1
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017/3/1
- Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation2017/3/1
- Uncertainty-Aware Reinforcement Learning for Collision Avoidance2017/2/1
- Enabling Robots to Communicate their Objectives2017/2/1
- Generalizing Skills with Semi-Supervised Reinforcement Learning2016/12/1
- Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States2016/10/1
- Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model2016/10/1
- Toward a Science of Autonomy for Physical Systems: Paths2016/9/1
- Deep Reinforcement Learning for Tensegrity Robot Locomotion2016/9/1
- Learning from the Hindsight Plan -- Episodic MPC Improvement2016/9/1
- Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer2016/9/1
- Learning to Poke by Poking: Experiential Learning of Intuitive Physics2016/6/1
- VIME: Variational Information Maximizing Exploration2016/5/1
- Benchmarking Deep Reinforcement Learning for Continuous Control2016/4/1
- Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration2016/3/1
- Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization2016/3/1
- Inverse Reinforcement Learning via Deep Gaussian Process2015/12/1
- One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors2015/9/1
- Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration2015/9/1
- Deep Spatial Autoencoders for Visuomotor Learning2015/9/1
- Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search2015/9/1
- Learning Deep Neural Network Policies with Continuous Memory States2015/7/1
- High-Dimensional Continuous Control Using Generalized Advantage Estimation2015/6/1
- End-to-End Training of Deep Visuomotor Policies2015/4/1
- Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols2015/2/1
- Learning Contact-Rich Manipulation Skills with Guided Policy Search2015/1/1
- Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces2012/12/1