Peter Stone
収録論文 105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
- LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks2026/7/1
- VOFA: Visual Object Goal Pushing with Force-Adaptive Control for Humanoids2026/5/1
- Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning2026/3/12
- ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors2026/3/1
- Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning2026/3/1
- Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning2026/3/1
- Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input2025/12/1
- Terrain Costmap Generation via Scaled Preference Conditioning2025/11/1
- LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models2025/11/1
- SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation2025/9/1
- RoboSSM: Scalable In-context Imitation Learning via State-Space Models2025/9/1
- ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion2025/9/1
- GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring2025/8/1
- L3M+P: Lifelong Planning with Large Language Models2025/8/1
- Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks2025/7/1
- SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training2025/6/1
- CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning2025/5/1
- Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer2024/12/1
- RLZero: Direct Policy Inference from Language Without In-Domain Supervision2024/12/1
- Learning Memory Mechanisms for Decision Making through Demonstrations2024/11/1
- Effort Allocation for Deadline-Aware Task and Motion Planning: A Metareasoning Approach2024/10/1
- Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning2024/10/1
- PACER: Preference-conditioned All-terrain Costmap Generation2024/10/1
- SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions2024/10/1
- Learning to Look: Seeking Information for Decision Making via Policy Factorization2024/10/1
- Grounded Curriculum Learning2024/9/1
- FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning2024/9/1
- PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation2024/9/1
- Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes2024/8/1
- Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 20242024/7/1
- MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention2024/6/1
- A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo2024/6/1
- Vision-based Manipulation from Single Human Video with Open-World Object Graphs2024/5/1
- Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds2024/5/1
- Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning2024/5/1
- Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning2024/3/1
- TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation2024/3/1
- Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination2024/3/1
- Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning2024/1/1
- ICRA Roboethics Challenge 2023: Intelligent Disobedience in an Elderly Care Home2023/11/1
- Exploring the Cost of Interruptions in Human-Robot Teaming2023/11/1
- $f$-Policy Gradients: A General Framework for Goal Conditioned RL using $f$-Divergences2023/10/1
- ELDEN: Exploration via Local Dependencies2023/10/1
- Dobby: A Conversational Service Robot Driven by GPT-42023/10/1
- Learning Generalizable Manipulation Policies with Object-Centric 3D Representations2023/10/1
- Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning2023/9/1
- Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds2023/9/1
- STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience2023/9/1
- Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning2023/9/1
- Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions2023/8/1
- Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 20232023/8/1
- Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning2023/7/1
- Principles and Guidelines for Evaluating Social Robot Navigation Algorithms2023/6/1
- Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search2023/5/1
- Causal Policy Gradient for Whole-Body Mobile Manipulation2023/5/1
- LLM+P: Empowering Large Language Models with Optimal Planning Proficiency2023/4/1
- A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems2023/1/1
- Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning2022/11/1
- VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors2022/10/1
- Benchmarking Reinforcement Learning Techniques for Autonomous Navigation2022/10/1
- Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis2022/10/1
- D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning2022/10/1
- Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways2022/9/1
- Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning2022/8/1
- Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 20222022/8/1
- DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching2022/6/1
- COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles2022/5/1
- VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics2022/3/1
- Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation2022/3/1
- Visually Grounded Task and Motion Planning for Mobile Manipulation2022/2/1
- Adversarial Imitation Learning from Video using a State Observer2022/2/1
- Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation2021/9/1
- From Agile Ground to Aerial Navigation: Learning from Learned Hallucination2021/8/1
- APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback2021/8/1
- Incorporating Gaze into Social Navigation2021/7/1
- Conflict Avoidance in Social Navigation -- a Survey2021/6/1
- APPL: Adaptive Planner Parameter Learning2021/5/1
- VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation2021/5/1
- Team Orienteering Coverage Planning with Uncertain Reward2021/5/1
- Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch2021/4/1
- A Scavenger Hunt for Service Robots2021/3/1
- Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain2021/2/1
- APPLI: Adaptive Planner Parameter Learning From Interventions2020/11/1
- Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey2020/11/1
- APPLR: Adaptive Planner Parameter Learning from Reinforcement2020/11/1
- Agile Robot Navigation through Hallucinated Learning and Sober Deployment2020/10/1
- Extended Abstract: Motion Planners Learned from Geometric Hallucination2020/10/1
- The EMPATHIC Framework for Task Learning from Implicit Human Feedback2020/9/1
- Stochastic Grounded Action Transformation for Robot Learning in Simulation2020/8/1
- Benchmarking Metric Ground Navigation2020/8/1
- Reinforced Grounded Action Transformation for Sim-to-Real Transfer2020/8/1
- Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination2020/7/1
- A Lifelong Learning Approach to Mobile Robot Navigation2020/7/1
- Deep R-Learning for Continual Area Sweeping2020/6/1
- APPLD: Adaptive Planner Parameter Learning from Demonstration2020/4/1
- Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentions2019/9/1
- Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report2019/9/1
- Desiderata for Planning Systems in General-Purpose Service Robots2019/7/1
- RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration2019/6/1
- Recent Advances in Imitation Learning from Observation2019/5/1
- Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots2018/11/1
- LAAIR: A Layered Architecture for Autonomous Interactive Robots2018/11/1
- Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence2018/10/1
- An Architecture for Person-Following using Active Target Search2018/9/1
- A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control2011/5/1