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ORCIDChris Paxton
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2020 – today
- 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, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox:
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
, 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): 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, Gregory D. Hager:
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, Kelleher Guerin, Gregory D. Hager:
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, Marin Kobilarov, Gregory D. Hager:
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., Chris Paxton, Gregory D. Hager, Luca Bascetta:
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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