Chris Paxton

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 97

Top Venues

Publications

Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng
Real-World Robot Applications of Foundation Models: A Review. CoRR (2024)
Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held
HACMan++: Spatially-Grounded Motion Primitives for Manipulation. CoRR (2024)
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
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR (2024)
Peiqi Liu, Yaswanth Orru, Chris Paxton, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics. CoRR (2024)
Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang
Task and Motion Planning with Large Language Models for Object Rearrangement. CoRR (2023)
Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRL (2023)
Priyam Parashar, Jay Vakil, Sam Powers, Chris Paxton
Spatial-Language Attention Policies for Efficient Robot Learning. CoRR (2023)
Benjamin Bolte, Austin Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. IROS (2023)
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR (2023)
Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot
Navigating to Objects Specified by Images. ICCV (2023)
Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held
Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRR (2023)
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
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRL (2023)
Benjamin Bolte, Austin Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. CoRR (2023)
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
GOAT: GO to Any Thing. CoRR (2023)
Sam Powers, Abhinav Gupta, Chris Paxton
Evaluating Continual Learning on a Home Robot. CoRR (2023)
Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. Robotics: Science and Systems (2023)
Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton
SLAP: Spatial-Language Attention Policies. CoRL (2023)
Sam Powers, Abhinav Gupta, Chris Paxton
Evaluating Continual Learning on a Home Robot. CoLLAs (2023)
Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang
Task and Motion Planning with Large Language Models for Object Rearrangement. IROS (2023)
Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot
Navigating to Objects Specified by Images. CoRR (2023)
Weiyu Liu, Yilun Du, Tucker Hermans, Sonia Chernova, Chris Paxton
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects. Robotics: Science and Systems (2023)
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CVPR (2022)
Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. CoRR (2022)
Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Model Predictive Control for Fluid Human-to-Robot Handovers. ICRA (2022)
Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects. ICRA (2022)
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Learning Perceptual Concepts by Bootstrapping From Human Queries. IEEE Robotics Autom. Lett. 7 (4) (2022)
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
Correcting Robot Plans with Natural Language Feedback. CoRR (2022)
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Antonio Torralba, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Pre-Trained Language Models for Interactive Decision-Making. CoRR (2022)
Hongtao Wu, Jikai Ye, Xin Meng, Chris Paxton, Gregory S. Chirikjian
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks. CoRR (2022)
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CoRR (2022)
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. CoRR (2022)
Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Model Predictive Control for Fluid Human-to-Robot Handovers. CoRR (2022)
Hongtao Wu, Jikai Ye, Xin Meng, Chris Paxton, Gregory S. Chirikjian
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks. IROS (2022)
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. ICRA (2022)
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
Pre-Trained Language Models for Interactive Decision-Making. NeurIPS (2022)
Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects. CoRR (2022)
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
Correcting Robot Plans with Natural Language Feedback. Robotics: Science and Systems (2022)
Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
Language Grounding with 3D Objects. CoRR (2021)
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models. IROS (2021)
Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRR (2021)
Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox
NeRP: Neural Rearrangement Planning for Unknown Objects. Robotics: Science and Systems (2021)
Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox
Predicting Stable Configurations for Semantic Placement of Novel Objects. CoRL (2021)
Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox
Predicting Stable Configurations for Semantic Placement of Novel Objects. CoRR (2021)
Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects. CoRR (2021)
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Learning Perceptual Concepts by Bootstrapping from Human Queries. CoRR (2021)
Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
Automated Generation of Robotic Planning Domains from Observations. IROS (2021)
Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
Language Grounding with 3D Objects. CoRL (2021)
Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
Optimizing robot planning domains to reduce search time for long-horizon planning. CoRR (2021)
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Reactive Human-to-Robot Handovers of Arbitrary Objects. ICRA (2021)
Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. ICRA (2021)
Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRL (2021)
Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox
SORNet: Spatial Object-Centric Representations for Sequential Manipulation. CoRR (2021)
Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox
SORNet: Spatial Object-Centric Representations for Sequential Manipulation. CoRL (2021)
Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
Automated Generation of Robotic Planning Domains from Observations. CoRR (2021)
Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox
NeRP: Neural Rearrangement Planning for Unknown Objects. CoRR (2021)
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
Transferable Task Execution from Pixels through Deep Planning Domain Learning. ICRA (2020)
Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox
Human Grasp Classification for Reactive Human-to-Robot Handovers. CoRR (2020)
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery. CoRR (2020)
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Reactive Human-to-Robot Handovers of Arbitrary Objects. CoRR (2020)
Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan D. Ratliff
Collaborative Interaction Models for Optimized Human-Robot Teamwork. IROS (2020)
Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox
Human Grasp Classification for Reactive Human-to-Robot Handovers. IROS (2020)
Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. CoRR (2020)
Andrew Hundt, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D. Hager
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer. IEEE Robotics Autom. Lett. 5 (4) (2020)
Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. ICRA (2020)
De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox
Motion Reasoning for Goal-Based Imitation Learning. ICRA (2020)
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
Transferable Task Execution from Pixels through Deep Planning Domain Learning. CoRR (2020)
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
6-DOF Grasping for Target-driven Object Manipulation in Clutter. ICRA (2020)
Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager
Visual Robot Task Planning. ICRA (2019)
Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox
Representing Robot Task Plans as Robust Logical-Dynamical Systems. IROS (2019)
Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
Prospection: Interpretable plans from language by predicting the future. ICRA (2019)
De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox
Motion Reasoning for Goal-Based Imitation Learning. CoRR (2019)
Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
Prospection: Interpretable Plans From Language By Predicting the Future. CoRR (2019)
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox
Conditional Driving from Natural Language Instructions. CoRR (2019)
Adam Fishman, Chris Paxton, Wei Yang, Nathan D. Ratliff, Dieter Fox
Trajectory Optimization for Coordinated Human-Robot Collaboration. CoRR (2019)
Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. CoRR (2019)
Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox
Representing Robot Task Plans as Robust Logical-Dynamical Systems. CoRR (2019)
Andrew Hundt, Benjamin Killeen, Heeyeon Kwon, Chris Paxton, Gregory D. Hager
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping. CoRR (2019)
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
6-DOF Grasping for Target-driven Object Manipulation in Clutter. CoRR (2019)
Andrew Hundt, Varun Jain, Chia-Hung Lin, Chris Paxton, Gregory D. Hager
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints. IROS (2019)
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox
Conditional Driving from Natural Language Instructions. CoRL (2019)
Kapil D. Katyal, Katie M. Popek, Chris Paxton, Philippe Burlina, Gregory D. Hager
Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. ICRA (2019)
Andrew Hundt, Varun Jain, Chris Paxton, Gregory D. Hager
Training Frankenstein's Creature to Stack: HyperTree Architecture Search. CoRR (2018)
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
Evaluating Methods for End-User Creation of Robot Task Plans. CoRR (2018)
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
Evaluating Methods for End-User Creation of Robot Task Plans. IROS (2018)
Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager
Visual Robot Task Planning. CoRR (2018)
Kapil D. Katyal, Katie M. Popek, Chris Paxton, Joseph L. Moore, Kevin C. Wolfe, Philippe Burlina, Gregory D. Hager
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. CoRR (2018)
Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager
CoSTAR: Instructing collaborative robots with behavior trees and vision. ICRA (2017)
Chris Paxton, Vasumathi Raman, Gregory D. Hager, Marin Kobilarov
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments. CoRR (2017)
Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager
Learning to Imagine Manipulation Goals for Robot Task Planning. CoRR (2017)
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
User Experience of the CoSTAR System for Instruction of Collaborative Robots. CoRR (2017)
Chris Paxton, Vasumathi Raman, Gregory D. Hager, Marin Kobilarov
Combining neural networks and tree search for task and motion planning in challenging environments. IROS (2017)
Felix Jonathan, Chris Paxton, Gregory D. Hager
Temporal and Physical Reasoning for Perception-Based Robotic Manipulation. CoRR (2017)
Chris Paxton, Felix Jonathan, Marin Kobilarov, Gregory D. Hager
Do what i want, not what i did: Imitation of skills by planning sequences of actions. IROS (2016)
Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision. CoRR (2016)
Chris Paxton, Marin Kobilarov, Gregory D. Hager
Towards Robot Task Planning From Probabilistic Models of Human Skills. CoRR (2016)
Jonathan Bohren, Chris Paxton, Ryan Howarth, Gregory D. Hager, Louis L. Whitcomb
Semi-Autonomous Telerobotic Assembly over High-Latency Networks. HRI (2016)
Chris Paxton, Felix Jonathan, Marin Kobilarov, Gregory D. Hager
Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions. CoRR (2016)
Amir M. Ghalamzan E., Chris Paxton, Gregory D. Hager, Luca Bascetta
An incremental approach to learning generalizable robot tasks from human demonstration. ICRA (2015)
Kelleher Guerin, Colin Lea, Chris Paxton, Gregory D. Hager
A framework for end-user instruction of a robot assistant for manufacturing. ICRA (2015)
Chris Paxton, Suchi Saria, Alexandru Niculescu-Mizil
Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. AMIA (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chris Paxton