Chris Paxton

Orcid: 0000-0003-1009-5982

Affiliations:
  • Hello Robot Inc., USA
  • Meta AI, USA


According to our database1, Chris Paxton authored at least 71 papers between 2013 and 2024.

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Bibliography

2024
Special issue on real-world robot applications of the foundation models.
Adv. Robotics, September, 2024

Real-world robot applications of foundation models: a review.
Adv. Robotics, September, 2024

Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.
CoRR, 2024

DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement.
CoRR, 2024

HACMan++: Spatially-Grounded Motion Primitives for Manipulation.
CoRR, 2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.
CoRR, 2024

OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.
CoRR, 2024


Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
GOAT: GO to Any Thing.
CoRR, 2023

Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation.
CoRR, 2023

Spatial-Language Attention Policies for Efficient Robot Learning.
CoRR, 2023

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Task and Motion Planning with Large Language Models for Object Rearrangement.
IROS, 2023

USA-Net: Unified Semantic and Affordance Representations for Robot Memory.
IROS, 2023

Navigating to Objects Specified by Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Online Adaptation for Autonomous Household Assistants.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation.
Proceedings of the Conference on Robot Learning, 2023


SLAP: Spatial-Language Attention Policies.
Proceedings of the Conference on Robot Learning, 2023

Evaluating Continual Learning on a Home Robot.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Learning Perceptual Concepts by Bootstrapping From Human Queries.
IEEE Robotics Autom. Lett., 2022

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects.
CoRR, 2022

Correcting Robot Plans with Natural Language Feedback.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Pre-Trained Language Models for Interactive Decision-Making.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Model Predictive Control for Fluid Human-to-Robot Handovers.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Optimizing robot planning domains to reduce search time for long-horizon planning.
CoRR, 2021

NeRP: Neural Rearrangement Planning for Unknown Objects.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Reactive Long Horizon Task Execution via Visual Skill and Precondition Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Automated Generation of Robotic Planning Domains from Observations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reactive Human-to-Robot Handovers of Arbitrary Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SORNet: Spatial Object-Centric Representations for Sequential Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Language Grounding with 3D Objects.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Predicting Stable Configurations for Semantic Placement of Novel Objects.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer.
IEEE Robotics Autom. Lett., 2020

Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery.
CoRR, 2020

Human Grasp Classification for Reactive Human-to-Robot Handovers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Collaborative Interaction Models for Optimized Human-Robot Teamwork.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

6-DOF Grasping for Target-driven Object Manipulation in Clutter.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Transferable Task Execution from Pixels through Deep Planning Domain Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Motion Reasoning for Goal-Based Imitation Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Online Replanning in Belief Space for Partially Observable Task and Motion Problems.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Trajectory Optimization for Coordinated Human-Robot Collaboration.
CoRR, 2019

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping.
CoRR, 2019

Representing Robot Task Plans as Robust Logical-Dynamical Systems.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Prospection: Interpretable plans from language by predicting the future.
Proceedings of the International Conference on Robotics and Automation, 2019

Visual Robot Task Planning.
Proceedings of the International Conference on Robotics and Automation, 2019

Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019

Conditional Driving from Natural Language Instructions.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Training Frankenstein's Creature to Stack: HyperTree Architecture Search.
CoRR, 2018

Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation.
CoRR, 2018

Evaluating Methods for End-User Creation of Robot Task Plans.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Learning to Imagine Manipulation Goals for Robot Task Planning.
CoRR, 2017

Temporal and Physical Reasoning for Perception-Based Robotic Manipulation.
CoRR, 2017

User Experience of the CoSTAR System for Instruction of Collaborative Robots.
CoRR, 2017

Combining neural networks and tree search for task and motion planning in challenging environments.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

CoSTAR: Instructing collaborative robots with behavior trees and vision.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Towards Robot Task Planning From Probabilistic Models of Human Skills.
CoRR, 2016

Do what i want, not what i did: Imitation of skills by planning sequences of actions.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Semi-Autonomous Telerobotic Assembly over High-Latency Networks.
Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016

2015
A framework for end-user instruction of a robot assistant for manufacturing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

An incremental approach to learning generalizable robot tasks from human demonstration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013
Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls.
Proceedings of the AMIA 2013, 2013


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