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Chris Paxton 0001
Christopher Jason Paxton
Person information
- affiliation: Hello Robot Inc., USA
- affiliation: Meta AI, USA
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2020 – today
- 2024
- [j4]Kento Kawaharazuka, Tatsuya Matsushima, Shuhei Kurita, Chris Paxton, Andy Zeng, Tetsuya Ogata, Tadahiro Taniguchi:
Special issue on real-world robot applications of the foundation models. Adv. Robotics 38(18): 1231 (2024) - [j3]Kento Kawaharazuka
, Tatsuya Matsushima
Real-world robot applications of foundation models: a review. Adv. Robotics 38(18): 1232-1254 (2024) - [c48]Benjamin A. Newman, Christopher Jason Paxton, Kris Kitani, Henny Admoni:
Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration. AAMAS 2024: 1463-1472 - [c47]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:
OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 2024: 16488-16498 - [i56]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 abs/2401.12202 (2024) - [i55]Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng:
Real-World Robot Applications of Foundation Models: A Review. CoRR abs/2402.05741 (2024) - [i54]Benjamin A. Newman, Christopher Jason Paxton, Kris Kitani, Henny Admoni:
Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration. CoRR abs/2404.10733 (2024) - [i53]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 abs/2407.06939 (2024) - [i52]Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held:
HACMan++: Spatially-Grounded Motion Primitives for Manipulation. CoRR abs/2407.08585 (2024) - [i51]Benjamin A. Newman, Pranay Gupta, Kris Kitani, Yonatan Bisk, Henny Admoni, Christopher Jason Paxton:
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement. CoRR abs/2407.08876 (2024) - [i50]Haritheja Etukuru, Norihito Naka, Zijin Hu, Seungjae Lee, Julian Mehu, Aaron Edsinger, Chris Paxton, Soumith Chintala, Lerrel Pinto, Nur Muhammad (Mahi) Shafiullah:
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments. CoRR abs/2409.05865 (2024) - 2023
- [c46]Sam Powers, Abhinav Gupta, Chris Paxton:
Evaluating Continual Learning on a Home Robot. CoLLAs 2023: 493-512 - [c45]Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held:
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRL 2023: 241-265 - [c44]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: 1975-2011 - [c43]Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton:
SLAP: Spatial-Language Attention Policies. CoRL 2023: 3571-3596 - [c42]Benjamin A. Newman
Towards Online Adaptation for Autonomous Household Assistants. HRI (Companion) 2023: 506-510 - [c41]Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot:
Navigating to Objects Specified by Images. ICCV 2023: 10882-10891 - [c40]Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton:
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. IROS 2023: 1-8 - [c39]Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang:
Task and Motion Planning with Large Language Models for Object Rearrangement. IROS 2023: 2086-2092 - [c38]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 - [c37]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 - [i49]Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang:
Task and Motion Planning with Large Language Models for Object Rearrangement. CoRR abs/2303.06247 (2023) - [i48]Jacob Krantz
Navigating to Objects Specified by Images. CoRR abs/2304.01192 (2023) - [i47]Priyam Parashar, Jay Vakil, Sam Powers, Chris Paxton:
Spatial-Language Attention Policies for Efficient Robot Learning. CoRR abs/2304.11235 (2023) - [i46]Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton:
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. CoRR abs/2304.12164 (2023) - [i45]Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held:
Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRR abs/2305.03942 (2023) - [i44]Sam Powers, Abhinav Gupta, Chris Paxton:
Evaluating Continual Learning on a Home Robot. CoRR abs/2306.02413 (2023) - [i43]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:
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR abs/2306.11565 (2023) - [i42]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 abs/2311.06430 (2023) - 2022
- [j2]Andreea Bobu
Learning Perceptual Concepts by Bootstrapping From Human Queries. IEEE Robotics Autom. Lett. 7(4): 11260-11267 (2022) - [c36]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: 14767-14777 - [c35]Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox:
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects. ICRA 2022: 6322-6329 - [c34]Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. ICRA 2022: 6941-6947 - [c33]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: 6956-6962 - [c32]Hongtao Wu, Jikai Ye
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks. IROS 2022: 10756-10763 - [c31]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 - [c30]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 - [i41]Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox:
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CoRR abs/2202.00732 (2022) - [i40]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. CoRR abs/2202.01771 (2022) - [i39]Hongtao Wu, Jikai Ye, Xin Meng, Chris Paxton, Gregory S. Chirikjian:
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks. CoRR abs/2202.10765 (2022) - [i38]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 abs/2204.00134 (2022) - [i37]Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox:
Correcting Robot Plans with Natural Language Feedback. CoRR abs/2204.05186 (2022) - [i36]Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. CoRR abs/2205.09747 (2022) - [i35]Nur Muhammad (Mahi) Shafiullah
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. CoRR abs/2210.05663 (2022) - [i34]Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton:
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects. CoRR abs/2211.04604 (2022) - 2021
- [c29]Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox:
SORNet: Spatial Object-Centric Representations for Sequential Manipulation. CoRL 2021: 148-157 - [c28]Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi:
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRL 2021: 706-717 - [c27]Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox:
Predicting Stable Configurations for Semantic Placement of Novel Objects. CoRL 2021: 806-815 - [c26]Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer:
Language Grounding with 3D Objects. CoRL 2021: 1691-1701 - [c25]Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Reactive Human-to-Robot Handovers of Arbitrary Objects. ICRA 2021: 3118-3124 - [c24]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: 6534-6540 - [c23]Shohin Mukherjee
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models. IROS 2021: 5717-5724 - [c22]Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro:
Automated Generation of Robotic Planning Domains from Observations. IROS 2021: 6732-6738 - [c21]Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox:
NeRP: Neural Rearrangement Planning for Unknown Objects. Robotics: Science and Systems 2021 - [i33]Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro:
Automated Generation of Robotic Planning Domains from Observations. CoRR abs/2105.13604 (2021) - [i32]Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox:
NeRP: Neural Rearrangement Planning for Unknown Objects. CoRR abs/2106.01352 (2021) - [i31]Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi:
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRR abs/2107.05612 (2021) - [i30]Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer:
Language Grounding with 3D Objects. CoRR abs/2107.12514 (2021) - [i29]Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox:
Predicting Stable Configurations for Semantic Placement of Novel Objects. CoRR abs/2108.12062 (2021) - [i28]Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox:
SORNet: Spatial Object-Centric Representations for Sequential Manipulation. CoRR abs/2109.03891 (2021) - [i27]Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox:
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects. CoRR abs/2110.10189 (2021) - [i26]Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Learning Perceptual Concepts by Bootstrapping from Human Queries. CoRR abs/2111.05251 (2021) - [i25]Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro:
Optimizing robot planning domains to reduce search time for long-horizon planning. CoRR abs/2111.05397 (2021) - 2020
- [j1]Andrew Hundt
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer. IEEE Robotics Autom. Lett. 5(4): 6724-6731 (2020) - [c20]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: 4878-4884 - [c19]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: 5678-5684 - [c18]Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox:
6-DOF Grasping for Target-driven Object Manipulation in Clutter. ICRA 2020: 6232-6238 - [c17]Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox:
Transferable Task Execution from Pixels through Deep Planning Domain Learning. ICRA 2020: 10459-10465 - [c16]Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox:
Human Grasp Classification for Reactive Human-to-Robot Handovers. IROS 2020: 11123-11130 - [c15]Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Collaborative Interaction Models for Optimized Human-Robot Teamwork. IROS 2020: 11221-11228 - [i24]Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox:
Transferable Task Execution from Pixels through Deep Planning Domain Learning. CoRR abs/2003.03726 (2020) - [i23]Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox:
Human Grasp Classification for Reactive Human-to-Robot Handovers. CoRR abs/2003.06000 (2020) - [i22]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 abs/2011.08694 (2020) - [i21]Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Reactive Human-to-Robot Handovers of Arbitrary Objects. CoRR abs/2011.08961 (2020) - [i20]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 abs/2012.14970 (2020)
2010 – 2019
- 2019
- [c14]Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox:
Conditional Driving from Natural Language Instructions. CoRL 2019: 540-551 - [c13]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: 5453-5459 - [c12]Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox:
Prospection: Interpretable plans from language by predicting the future. ICRA 2019: 6942-6948 - [c11]Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora
Visual Robot Task Planning. ICRA 2019: 8832-8838 - [c10]Andrew Hundt, Varun Jain, Chia-Hung Lin, Chris Paxton, Gregory D. Hager:
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints. IROS 2019: 1797-1804 - [c9]Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox:
Representing Robot Task Plans as Robust Logical-Dynamical Systems. IROS 2019: 5588-5595 - [i19]Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox:
Prospection: Interpretable Plans From Language By Predicting the Future. CoRR abs/1903.08309 (2019) - [i18]Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox:
Representing Robot Task Plans as Robust Logical-Dynamical Systems. CoRR abs/1908.01896 (2019) - [i17]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 abs/1909.11730 (2019) - [i16]Adam Fishman, Chris Paxton, Wei Yang, Nathan D. Ratliff, Dieter Fox:
Trajectory Optimization for Coordinated Human-Robot Collaboration. CoRR abs/1910.04339 (2019) - [i15]Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox:
Conditional Driving from Natural Language Instructions. CoRR abs/1910.07615 (2019) - [i14]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 abs/1911.04577 (2019) - [i13]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 abs/1911.05864 (2019) - [i12]Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox:
6-DOF Grasping for Target-driven Object Manipulation in Clutter. CoRR abs/1912.03628 (2019) - 2018
- [c8]Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager:
Evaluating Methods for End-User Creation of Robot Task Plans. IROS 2018: 6086-6092 - [i11]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 abs/1803.02007 (2018) - [i10]Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager:
Visual Robot Task Planning. CoRR abs/1804.00062 (2018) - [i9]Andrew Hundt, Varun Jain, Chris Paxton, Gregory D. Hager:
Training Frankenstein's Creature to Stack: HyperTree Architecture Search. CoRR abs/1810.11714 (2018) - [i8]Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager:
Evaluating Methods for End-User Creation of Robot Task Plans. CoRR abs/1811.02690 (2018) - 2017
- [c7]Chris Paxton, Andrew Hundt, Felix Jonathan
CoSTAR: Instructing collaborative robots with behavior trees and vision. ICRA 2017: 564-571 - [c6]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: 6059-6066 - [i7]Chris Paxton, Vasumathi Raman, Gregory D. Hager, Marin Kobilarov:
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments. CoRR abs/1703.07887 (2017) - [i6]Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager:
User Experience of the CoSTAR System for Instruction of Collaborative Robots. CoRR abs/1703.07890 (2017) - [i5]Felix Jonathan, Chris Paxton, Gregory D. Hager:
Temporal and Physical Reasoning for Perception-Based Robotic Manipulation. CoRR abs/1710.03948 (2017) - [i4]Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager:
Learning to Imagine Manipulation Goals for Robot Task Planning. CoRR abs/1711.02783 (2017) - 2016
- [c5]Jonathan Bohren, Chris Paxton, Ryan Howarth, Gregory D. Hager, Louis L. Whitcomb
Semi-Autonomous Telerobotic Assembly over High-Latency Networks. HRI 2016: 149-156 - [c4]Chris Paxton, Felix Jonathan
Do what i want, not what i did: Imitation of skills by planning sequences of actions. IROS 2016: 3778-3785 - [i3]Chris Paxton, Marin Kobilarov, Gregory D. Hager:
Towards Robot Task Planning From Probabilistic Models of Human Skills. CoRR abs/1602.04754 (2016) - [i2]Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager:
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision. CoRR abs/1611.06145 (2016) - [i1]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 abs/1612.01215 (2016) - 2015
- [c3]Amir M. Ghalamzan E.
An incremental approach to learning generalizable robot tasks from human demonstration. ICRA 2015: 5616-5621 - [c2]Kelleher Guerin, Colin Lea, Chris Paxton, Gregory D. Hager:
A framework for end-user instruction of a robot assistant for manufacturing. ICRA 2015: 6167-6174 - 2013
- [c1]Chris Paxton, Suchi Saria, Alexandru Niculescu-Mizil:
Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. AMIA 2013
Coauthor Index
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