Chris Paxton
収録論文 60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
- Robot Planning and Situation Handling with Active Perception2026/4/1
- LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models2025/11/1
- Cascaded Diffusion Models for Neural Motion Planning2025/5/1
- GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering2024/12/1
- DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation2024/11/1
- Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments2024/9/1
- Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge2024/7/1
- DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement2024/7/1
- HACMan++: Spatially-Grounded Motion Primitives for Manipulation2024/7/1
- Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration2024/4/1
- Real-World Robot Applications of Foundation Models: A Review2024/2/1
- OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics2024/1/1
- GOAT: GO to Any Thing2023/11/1
- HomeRobot: Open-Vocabulary Mobile Manipulation2023/6/1
- Evaluating Continual Learning on a Home Robot2023/6/1
- HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation2023/5/1
- USA-Net: Unified Semantic and Affordance Representations for Robot Memory2023/4/1
- Spatial-Language Attention Policies for Efficient Robot Learning2023/4/1
- Navigating to Objects Specified by Images2023/4/1
- Task and Motion Planning with Large Language Models for Object Rearrangement2023/3/1
- StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects2022/11/1
- CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory2022/10/1
- HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers2022/5/1
- Correcting Robot Plans with Natural Language Feedback2022/4/1
- Model Predictive Control for Fluid Human-to-Robot Handovers2022/4/1
- IFOR: Iterative Flow Minimization for Robotic Object Rearrangement2022/2/1
- Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks2022/2/1
- Optimizing robot planning domains to reduce search time for long-horizon planning2021/11/1
- Learning Perceptual Concepts by Bootstrapping from Human Queries2021/11/1
- StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects2021/10/1
- SORNet: Spatial Object-Centric Representations for Sequential Manipulation2021/9/1
- Predicting Stable Configurations for Semantic Placement of Novel Objects2021/8/1
- A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution2021/7/1
- Language Grounding with 3D Objects2021/7/1
- NeRP: Neural Rearrangement Planning for Unknown Objects2021/6/1
- Automated Generation of Robotic Planning Domains from Observations2021/5/1
- Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments2020/12/1
- Reactive Long Horizon Task Execution via Visual Skill and Precondition Models2020/11/1
- Reactive Human-to-Robot Handovers of Arbitrary Objects2020/11/1
- Transferable Task Execution from Pixels through Deep Planning Domain Learning2020/3/1
- Human Grasp Classification for Reactive Human-to-Robot Handovers2020/3/1
- 6-DOF Grasping for Target-driven Object Manipulation in Clutter2019/12/1
- Online Replanning in Belief Space for Partially Observable Task and Motion Problems2019/11/1
- Motion Reasoning for Goal-Based Imitation Learning2019/11/1
- Conditional Driving from Natural Language Instructions2019/10/1
- Collaborative Behavior Models for Optimized Human-Robot Teamwork2019/10/1
- "Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer2019/9/1
- Representing Robot Task Plans as Robust Logical-Dynamical Systems2019/8/1
- Prospection: Interpretable Plans From Language By Predicting the Future2019/3/1
- Evaluating Methods for End-User Creation of Robot Task Plans2018/11/1
- The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints2018/10/1
- Visual Robot Task Planning2018/4/1
- Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation2018/3/1
- Learning to Imagine Manipulation Goals for Robot Task Planning2017/11/1
- Temporal and Physical Reasoning for Perception-Based Robotic Manipulation2017/10/1
- Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments2017/3/1
- User Experience of the CoSTAR System for Instruction of Collaborative Robots2017/3/1
- Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions2016/12/1
- CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision2016/11/1
- Towards Robot Task Planning From Probabilistic Models of Human Skills2016/2/1