Chris Paxton

114 papers A* 23A 12Misc 9Journal 62Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
Cascaded Diffusion Models for Neural Motion Planning.
ICRA
Mohit Sharma, Adam Fishman, Vikash Kumar, Chris Paxton, Oliver Kroemer
2025 J jnl
Cascaded Diffusion Models for Neural Motion Planning.
CoRR
Mohit Sharma, Adam Fishman, Vikash Kumar, Chris Paxton, Oliver Kroemer
2025 A* conf
Dynamem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation.
ICRA
Peiqi Liu, Zhanqiu Guo, Mohit Warke, Soumith Chintala, Chris Paxton, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto
2025 J jnl
LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models.
CoRR
Xiaohan Zhang, Yan Ding, Yohei Hayamizu, Zainab Altaweel, Yifeng Zhu, Yuke Zhu, Peter Stone, Chris Paxton, Shiqi Zhang
2025 A* conf
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.
ICRA
Haritheja Etukuru, Norihito Naka, Zijin Hu, Seungjae Lee, Julian Mehu, Aaron Edsinger, Chris Paxton, Soumith Chintala, Lerrel Pinto, Nur Muhammad (Mahi) Shafiullah
2024 — conf
Demonstrating OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.
Robotics: Science and Systems
Peiqi Liu, Yaswanth Orru, Jay Vakil, Chris Paxton, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto
2024 J jnl
DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation.
CoRR
Peiqi Liu, Zhanqiu Guo, Mohit Warke, Soumith Chintala, Chris Paxton, Nur Muhammad Shafiullah, Lerrel Pinto
2024 — conf
GOAT: GO to Any Thing.
Robotics: Science and Systems
Matthew Chang, Théophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot
2024 J jnl
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering.
CoRR
Saumya Saxena, Blake Buchanan, Chris Paxton, Bingqing Chen, Narunas Vaskevicius, Luigi Palmieri, Jonathan Francis, Oliver Kroemer
2024 — conf
HACMan++: Spatially-Grounded Motion Primitives for Manipulation.
Robotics: Science and Systems
Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held
2024 J jnl
HACMan++: Spatially-Grounded Motion Primitives for Manipulation.
CoRR
Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held
2024 J jnl
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.
CoRR
Peiqi Liu, Yaswanth Orru, Chris Paxton, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto
2024 A* conf
OpenEQA: Embodied Question Answering in the Era of Foundation Models.
CVPR
Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran
2024 J jnl
Real-World Robot Applications of Foundation Models: A Review.
CoRR
Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng
2024 J jnl
Real-world robot applications of foundation models: a review.
Adv. Robotics
Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng
2024 J jnl
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.
CoRR
Haritheja Etukuru, Norihito Naka, Zijin Hu, Seungjae Lee, Julian Mehu, Aaron Edsinger, Chris Paxton, Soumith Chintala, Lerrel Pinto, Nur Muhammad (Mahi) Shafiullah
2024 J jnl
Special issue on real-world robot applications of the foundation models.
Adv. Robotics
Kento Kawaharazuka, Tatsuya Matsushima, Shuhei Kurita, Chris Paxton, Andy Zeng, Tetsuya Ogata, Tadahiro Taniguchi
2024 J jnl
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.
CoRR
Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
2023 — conf
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.
Robotics: Science and Systems
Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam
2023 — conf
Evaluating Continual Learning on a Home Robot.
CoLLAs
Sam Powers, Abhinav Gupta, Chris Paxton
2023 J jnl
Evaluating Continual Learning on a Home Robot.
CoRR
Sam Powers, Abhinav Gupta, Chris Paxton
2023 J jnl
GOAT: GO to Any Thing.
CoRR
Matthew Chang, Théophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot
2023 Misc conf
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation.
CoRL
Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held
2023 Misc conf
HomeRobot: Open-Vocabulary Mobile Manipulation.
CoRL
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
2023 J jnl
HomeRobot: Open-Vocabulary Mobile Manipulation.
CoRR
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
2023 J jnl
Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation.
CoRR
Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held
2023 A* conf
Navigating to Objects Specified by Images.
ICCV
Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot
2023 J jnl
Navigating to Objects Specified by Images.
CoRR
Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot
2023 Misc conf
SLAP: Spatial-Language Attention Policies.
CoRL
Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton
2023 J jnl
Spatial-Language Attention Policies for Efficient Robot Learning.
CoRR
Priyam Parashar, Jay Vakil, Sam Powers, Chris Paxton
2023 — conf
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects.
Robotics: Science and Systems
Weiyu Liu, Yilun Du, Tucker Hermans, Sonia Chernova, Chris Paxton
2023 A conf
Task and Motion Planning with Large Language Models for Object Rearrangement.
IROS
Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang
2023 J jnl
Task and Motion Planning with Large Language Models for Object Rearrangement.
CoRR
Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang
2023 A conf
USA-Net: Unified Semantic and Affordance Representations for Robot Memory.
IROS
Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
2023 J jnl
USA-Net: Unified Semantic and Affordance Representations for Robot Memory.
CoRR
Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
2022 J jnl
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.
CoRR
Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam
2022 — conf
Correcting Robot Plans with Natural Language Feedback.
Robotics: Science and Systems
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
2022 J jnl
Correcting Robot Plans with Natural Language Feedback.
CoRR
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
2022 A* conf
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers.
ICRA
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox
2022 J jnl
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers.
CoRR
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox
2022 A* conf
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement.
CVPR
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
2022 J jnl
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement.
CoRR
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
2022 J jnl
Learning Perceptual Concepts by Bootstrapping From Human Queries.
IEEE Robotics Autom. Lett.
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2022 A* conf
Model Predictive Control for Fluid Human-to-Robot Handovers.
ICRA
Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2022 J jnl
Model Predictive Control for Fluid Human-to-Robot Handovers.
CoRR
Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2022 A* conf
Pre-Trained Language Models for Interactive Decision-Making.
NeurIPS
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
2022 J jnl
Pre-Trained Language Models for Interactive Decision-Making.
CoRR
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
2022 J jnl
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects.
CoRR
Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton
2022 A* conf
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects.
ICRA
Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox
2022 A conf
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks.
IROS
Hongtao Wu, Jikai Ye, Xin Meng, Chris Paxton, Gregory S. Chirikjian
2022 J jnl
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks.
CoRR
Hongtao Wu, Jikai Ye, Xin Meng, Chris Paxton, Gregory S. Chirikjian
2021 Misc conf
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.
CoRL
Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi
2021 J jnl
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.
CoRR
Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi
2021 A* conf
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments.
ICRA
Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox
2021 A conf
Automated Generation of Robotic Planning Domains from Observations.
IROS
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 J jnl
Automated Generation of Robotic Planning Domains from Observations.
CoRR
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 Misc conf
Language Grounding with 3D Objects.
CoRL
Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
2021 J jnl
Language Grounding with 3D Objects.
CoRR
Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
2021 J jnl
Learning Perceptual Concepts by Bootstrapping from Human Queries.
CoRR
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2021 — conf
NeRP: Neural Rearrangement Planning for Unknown Objects.
Robotics: Science and Systems
Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox
2021 J jnl
NeRP: Neural Rearrangement Planning for Unknown Objects.
CoRR
Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox
2021 J jnl
Optimizing robot planning domains to reduce search time for long-horizon planning.
CoRR
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 Misc conf
Predicting Stable Configurations for Semantic Placement of Novel Objects.
CoRL
Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox
2021 J jnl
Predicting Stable Configurations for Semantic Placement of Novel Objects.
CoRR
Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox
2021 A* conf
Reactive Human-to-Robot Handovers of Arbitrary Objects.
ICRA
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2021 A conf
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models.
IROS
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
2021 Misc conf
SORNet: Spatial Object-Centric Representations for Sequential Manipulation.
CoRL
Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox
2021 J jnl
SORNet: Spatial Object-Centric Representations for Sequential Manipulation.
CoRR
Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox
2021 J jnl
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects.
CoRR
Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox
2020 J jnl
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer.
IEEE Robotics Autom. Lett.
Andrew Hundt, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D. Hager
2020 A* conf
6-DOF Grasping for Target-driven Object Manipulation in Clutter.
ICRA
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
2020 J jnl
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments.
CoRR
Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox
2020 A conf
Collaborative Interaction Models for Optimized Human-Robot Teamwork.
IROS
Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan D. Ratliff
2020 A conf
Human Grasp Classification for Reactive Human-to-Robot Handovers.
IROS
Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox
2020 J jnl
Human Grasp Classification for Reactive Human-to-Robot Handovers.
CoRR
Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox
2020 A* conf
Motion Reasoning for Goal-Based Imitation Learning.
ICRA
De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox
2020 A* conf
Online Replanning in Belief Space for Partially Observable Task and Motion Problems.
ICRA
Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2020 J jnl
Reactive Human-to-Robot Handovers of Arbitrary Objects.
CoRR
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
2020 J jnl
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery.
CoRR
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
2020 A* conf
Transferable Task Execution from Pixels through Deep Planning Domain Learning.
ICRA
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
2020 J jnl
Transferable Task Execution from Pixels through Deep Planning Domain Learning.
CoRR
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
2019 J jnl
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping.
CoRR
Andrew Hundt, Benjamin Killeen, Heeyeon Kwon, Chris Paxton, Gregory D. Hager
2019 J jnl
6-DOF Grasping for Target-driven Object Manipulation in Clutter.
CoRR
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
2019 Misc conf
Conditional Driving from Natural Language Instructions.
CoRL
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox
2019 J jnl
Conditional Driving from Natural Language Instructions.
CoRR
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox
2019 J jnl
Motion Reasoning for Goal-Based Imitation Learning.
CoRR
De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox
2019 J jnl
Online Replanning in Belief Space for Partially Observable Task and Motion Problems.
CoRR
Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2019 J jnl
Prospection: Interpretable Plans From Language By Predicting the Future.
CoRR
Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
2019 A* conf
Prospection: Interpretable plans from language by predicting the future.
ICRA
Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
2019 A conf
Representing Robot Task Plans as Robust Logical-Dynamical Systems.
IROS
Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox
2019 J jnl
Representing Robot Task Plans as Robust Logical-Dynamical Systems.
CoRR
Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox
2019 A conf
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints.
IROS
Andrew Hundt, Varun Jain, Chia-Hung Lin, Chris Paxton, Gregory D. Hager
2019 J jnl
Trajectory Optimization for Coordinated Human-Robot Collaboration.
CoRR
Adam Fishman, Chris Paxton, Wei Yang, Nathan D. Ratliff, Dieter Fox
2019 A* conf
Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation.
ICRA
Kapil D. Katyal, Katie M. Popek, Chris Paxton, Philippe Burlina, Gregory D. Hager
2019 A* conf
Visual Robot Task Planning.
ICRA
Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager
2018 A conf
Evaluating Methods for End-User Creation of Robot Task Plans.
IROS
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
2018 J jnl
Evaluating Methods for End-User Creation of Robot Task Plans.
CoRR
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
2018 J jnl
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation.
CoRR
Kapil D. Katyal, Katie M. Popek, Chris Paxton, Joseph L. Moore, Kevin C. Wolfe, Philippe Burlina, Gregory D. Hager
2018 J jnl
Training Frankenstein's Creature to Stack: HyperTree Architecture Search.
CoRR
Andrew Hundt, Varun Jain, Chris Paxton, Gregory D. Hager
2018 J jnl
Visual Robot Task Planning.
CoRR
Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager
2017 A* conf
CoSTAR: Instructing collaborative robots with behavior trees and vision.
ICRA
Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager
2017 J jnl
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments.
CoRR
Chris Paxton, Vasumathi Raman, Gregory D. Hager, Marin Kobilarov
2017 A conf
Combining neural networks and tree search for task and motion planning in challenging environments.
IROS
Chris Paxton, Vasumathi Raman, Gregory D. Hager, Marin Kobilarov
2017 J jnl
Learning to Imagine Manipulation Goals for Robot Task Planning.
CoRR
Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager
2017 J jnl
Temporal and Physical Reasoning for Perception-Based Robotic Manipulation.
CoRR
Felix Jonathan, Chris Paxton, Gregory D. Hager
2017 J jnl
User Experience of the CoSTAR System for Instruction of Collaborative Robots.
CoRR
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
2016 J jnl
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision.
CoRR
Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager
2016 J jnl
Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions.
CoRR
Chris Paxton, Felix Jonathan, Marin Kobilarov, Gregory D. Hager
2016 A conf
Do what i want, not what i did: Imitation of skills by planning sequences of actions.
IROS
Chris Paxton, Felix Jonathan, Marin Kobilarov, Gregory D. Hager
2016 A* conf
Semi-Autonomous Telerobotic Assembly over High-Latency Networks.
HRI
Jonathan Bohren, Chris Paxton, Ryan Howarth, Gregory D. Hager, Louis L. Whitcomb
2016 J jnl
Towards Robot Task Planning From Probabilistic Models of Human Skills.
CoRR
Chris Paxton, Marin Kobilarov, Gregory D. Hager
2015 A* conf
A framework for end-user instruction of a robot assistant for manufacturing.
ICRA
Kelleher Guerin, Colin Lea, Chris Paxton, Gregory D. Hager
2015 A* conf
An incremental approach to learning generalizable robot tasks from human demonstration.
ICRA
Amir M. Ghalamzan E., Chris Paxton, Gregory D. Hager, Luca Bascetta
2013 Misc conf
Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls.
AMIA
Chris Paxton, Suchi Saria, Alexandru Niculescu-Mizil