Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. - Chris Paxton 001; Suchi Saria; Alexandru Niculescu-Mizil (AMIA, 2013)

An incremental approach to learning generalizable robot tasks from human demonstration. - Amir M. Ghalamzan E.; Chris Paxton 001; Gregory D. Hager; Luca Bascetta (ICRA, 2015)

A framework for end-user instruction of a robot assistant for manufacturing. - Kelleher Guerin; Colin Lea; Chris Paxton 001; Gregory D. Hager (ICRA, 2015)

Semi-Autonomous Telerobotic Assembly over High-Latency Networks. - Jonathan Bohren; Chris Paxton 001; Ryan Howarth; Gregory D. Hager; Louis L. Whitcomb (HRI, 2016)

Do what i want, not what i did: Imitation of skills by planning sequences of actions. - Chris Paxton 001; Felix Jonathan; Marin Kobilarov; Gregory D. Hager (IROS, 2016)

Towards Robot Task Planning From Probabilistic Models of Human Skills. - Chris Paxton 001; Marin Kobilarov; Gregory D. Hager (CoRR, 2016)

CoSTAR: Instructing collaborative robots with behavior trees and vision. - Chris Paxton 001; Andrew Hundt; Felix Jonathan; Kelleher Guerin; Gregory D. Hager (ICRA, 2017)

Combining neural networks and tree search for task and motion planning in challenging environments. - Chris Paxton 001; Vasumathi Raman; Gregory D. Hager; Marin Kobilarov (IROS, 2017)

User Experience of the CoSTAR System for Instruction of Collaborative Robots. - Chris Paxton 001; Felix Jonathan; Andrew Hundt; Bilge Mutlu; Gregory D. Hager (CoRR, 2017)

Temporal and Physical Reasoning for Perception-Based Robotic Manipulation. - Felix Jonathan; Chris Paxton 001; Gregory D. Hager (CoRR, 2017)

Learning to Imagine Manipulation Goals for Robot Task Planning. - Chris Paxton 001; Kapil D. Katyal; Christian Rupprecht 001; Raman Arora; Gregory D. Hager (CoRR, 2017)

Evaluating Methods for End-User Creation of Robot Task Plans. - Chris Paxton 001; Felix Jonathan; Andrew Hundt; Bilge Mutlu; Gregory D. Hager (IROS, 2018)

Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. - Kapil D. Katyal; Katie M. Popek; Chris Paxton 001; Joseph L. Moore; Kevin C. Wolfe; Philippe Burlina; Gregory D. Hager (CoRR, 2018)

Training Frankenstein's Creature to Stack: HyperTree Architecture Search. - Andrew Hundt; Varun Jain; Chris Paxton 001; Gregory D. Hager (CoRR, 2018)

Conditional Driving from Natural Language Instructions. - Junha Roh; Chris Paxton 001; Andrzej Pronobis; Ali Farhadi; Dieter Fox (CoRL, 2019)

Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. - Kapil D. Katyal; Katie M. Popek; Chris Paxton 001; Philippe Burlina; Gregory D. Hager (ICRA, 2019)

Visual Robot Task Planning. - Chris Paxton 001; Yotam Barnoy; Kapil D. Katyal; Raman Arora; Gregory D. Hager (ICRA, 2019)

Prospection: Interpretable plans from language by predicting the future. - Chris Paxton 001; Yonatan Bisk; Jesse Thomason; Arunkumar Byravan; Dieter Fox (ICRA, 2019)

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints. - Andrew Hundt; Varun Jain; Chia-Hung Lin; Chris Paxton 001; Gregory D. Hager (IROS, 2019)

Representing Robot Task Plans as Robust Logical-Dynamical Systems. - Chris Paxton 001; Nathan D. Ratliff; Clemens Eppner; Dieter Fox (IROS, 2019)

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping. - Andrew Hundt; Benjamin Killeen; Heeyeon Kwon; Chris Paxton 001; Gregory D. Hager (CoRR, 2019)

Trajectory Optimization for Coordinated Human-Robot Collaboration. - Adam Fishman; Chris Paxton 001; Wei Yang 019; Nathan D. Ratliff; Dieter Fox (CoRR, 2019)

Online Replanning in Belief Space for Partially Observable Task and Motion Problems. - Caelan Reed Garrett; Chris Paxton 001; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Dieter Fox (ICRA, 2020)

Motion Reasoning for Goal-Based Imitation Learning. - De-An Huang; Yu-Wei Chao; Chris Paxton 001; Xinke Deng; Li Fei-Fei 001; Juan Carlos Niebles; Animesh Garg; Dieter Fox (ICRA, 2020)

Transferable Task Execution from Pixels through Deep Planning Domain Learning. - Kei Kase; Chris Paxton 001; Hammad Mazhar; Tetsuya Ogata; Dieter Fox (ICRA, 2020)

6-DOF Grasping for Target-driven Object Manipulation in Clutter. - Adithyavairavan Murali; Arsalan Mousavian; Clemens Eppner; Chris Paxton 001; Dieter Fox (ICRA, 2020)

Collaborative Interaction Models for Optimized Human-Robot Teamwork. - Adam Fishman; Chris Paxton 001; Wei Yang 019; Dieter Fox; Byron Boots; Nathan D. Ratliff (IROS, 2020)

Human Grasp Classification for Reactive Human-to-Robot Handovers. - Wei Yang 019; Chris Paxton 001; Maya Cakmak; Dieter Fox (IROS, 2020)

Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery. - Shohin Mukherjee; Chris Paxton 001; Arsalan Mousavian; Adam Fishman; Maxim Likhachev; Dieter Fox (CoRR, 2020)

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer. - Andrew Hundt; Benjamin Killeen; Nicholas Greene; Hongtao Wu; Heeyeon Kwon; Chris Paxton 001; Gregory D. Hager (IEEE Robotics Autom. Lett., 2020)

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. - Valts Blukis; Chris Paxton 001; Dieter Fox; Animesh Garg; Yoav Artzi (CoRL, 2021)

Predicting Stable Configurations for Semantic Placement of Novel Objects. - Chris Paxton 001; Chris Xie; Tucker Hermans; Dieter Fox (CoRL, 2021)

Language Grounding with 3D Objects. - Jesse Thomason; Mohit Shridhar; Yonatan Bisk; Chris Paxton 001; Luke Zettlemoyer (CoRL, 2021)

SORNet: Spatial Object-Centric Representations for Sequential Manipulation. - Wentao Yuan; Chris Paxton 001; Karthik Desingh; Dieter Fox (CoRL, 2021)

Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. - Fahad Islam; Chris Paxton 001; Clemens Eppner; Bryan Peele; Maxim Likhachev; Dieter Fox (ICRA, 2021)

Reactive Human-to-Robot Handovers of Arbitrary Objects. - Wei Yang 019; Chris Paxton 001; Arsalan Mousavian; Yu-Wei Chao; Maya Cakmak; Dieter Fox (ICRA, 2021)

Automated Generation of Robotic Planning Domains from Observations. - Maximilian Diehl; Chris Paxton 001; Karinne Ramirez-Amaro (IROS, 2021)

Reactive Long Horizon Task Execution via Visual Skill and Precondition Models. - Shohin Mukherjee; Chris Paxton 001; Arsalan Mousavian; Adam Fishman; Maxim Likhachev; Dieter Fox (IROS, 2021)

NeRP: Neural Rearrangement Planning for Unknown Objects. - Ahmed Hussain Qureshi; Arsalan Mousavian; Chris Paxton 001; Michael C. Yip; Dieter Fox (Robotics: Science and Systems, 2021)

Optimizing robot planning domains to reduce search time for long-horizon planning. - Maximilian Diehl; Chris Paxton 001; Karinne Ramirez-Amaro (CoRR, 2021)

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. - Ankit Goyal 001; Arsalan Mousavian; Chris Paxton 001; Yu-Wei Chao; Brian Okorn; Jia Deng 001; Dieter Fox (CVPR, 2022)

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. - Yu-Wei Chao; Chris Paxton 001; Yu Xiang 001; Wei Yang 019; Balakumar Sundaralingam; Tao Chen 046; Adithyavairavan Murali; Maya Cakmak; Dieter Fox (ICRA, 2022)

StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects. - Weiyu Liu; Chris Paxton 001; Tucker Hermans; Dieter Fox (ICRA, 2022)

Model Predictive Control for Fluid Human-to-Robot Handovers. - Wei Yang 019; Balakumar Sundaralingam; Chris Paxton 001; Iretiayo Akinola; Yu-Wei Chao; Maya Cakmak; Dieter Fox (ICRA, 2022)

Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks. - Hongtao Wu; Jikai Ye; Xin Meng; Chris Paxton 001; Gregory S. Chirikjian (IROS, 2022)

Pre-Trained Language Models for Interactive Decision-Making. - Shuang Li 013; Xavier Puig; Chris Paxton 001; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen 046; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (NeurIPS, 2022)

Correcting Robot Plans with Natural Language Feedback. - Pratyusha Sharma; Balakumar Sundaralingam; Valts Blukis; Chris Paxton 001; Tucker Hermans; Antonio Torralba 001; Jacob Andreas; Dieter Fox (Robotics: Science and Systems, 2022)

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects. - Weiyu Liu; Tucker Hermans; Sonia Chernova; Chris Paxton 001 (CoRR, 2022)

Learning Perceptual Concepts by Bootstrapping From Human Queries. - Andreea Bobu; Chris Paxton 001; Wei Yang 019; Balakumar Sundaralingam; Yu-Wei Chao; Maya Cakmak; Dieter Fox (IEEE Robotics Autom. Lett., 2022)

Evaluating Continual Learning on a Home Robot. - Sam Powers; Abhinav Gupta 001; Chris Paxton 001 (CoLLAs, 2023)

SLAP: Spatial-Language Attention Policies. - Priyam Parashar; Vidhi Jain; Xiaohan Zhang 002; Jay Vakil; Sam Powers; Yonatan Bisk; Chris Paxton 001 (CoRL, 2023)

HomeRobot: Open-Vocabulary Mobile Manipulation. - 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; et al. (CoRL, 2023)

HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. - Wenxuan Zhou; Bowen Jiang; Fan Yang; Chris Paxton 001; David Held (CoRL, 2023)

Towards Online Adaptation for Autonomous Household Assistants. - Benjamin A. Newman; Christopher Jason Paxton; Kris Kitani; Henny Admoni (HRI (Companion), 2023)

Navigating to Objects Specified by Images. - Jacob Krantz; Théophile Gervet; Karmesh Yadav; Austin S. Wang; Chris Paxton 001; Roozbeh Mottaghi; Dhruv Batra; Jitendra Malik; Stefan Lee; Devendra Singh Chaplot (ICCV, 2023)

USA-Net: Unified Semantic and Affordance Representations for Robot Memory. - Benjamin Bolte; Austin S. Wang; Jimmy Yang; Mustafa Mukadam; Mrinal Kalakrishnan; Chris Paxton 001 (IROS, 2023)

Task and Motion Planning with Large Language Models for Object Rearrangement. - Yan Ding 002; Xiaohan Zhang 002; Chris Paxton 001; Shiqi Zhang 001 (IROS, 2023)

StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects. - Weiyu Liu; Yilun Du; Tucker Hermans; Sonia Chernova; Chris Paxton 001 (Robotics: Science and Systems, 2023)

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. - Nur Muhammad (Mahi) Shafiullah; Chris Paxton 001; Lerrel Pinto; Soumith Chintala; Arthur Szlam (Robotics: Science and Systems, 2023)

Spatial-Language Attention Policies for Efficient Robot Learning. - Priyam Parashar; Jay Vakil; Sam Powers; Chris Paxton 001 (CoRR, 2023)

Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. - Wenxuan Zhou; Bowen Jiang; Fan Yang; Chris Paxton 001; David Held (CoRR, 2023)

Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration. - Benjamin A. Newman; Christopher Jason Paxton; Kris Kitani; Henny Admoni (AAMAS, 2024)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

GOAT: GO to Any Thing. - Matthew Chang; Théophile Gervet; Mukul Khanna; Sriram Yenamandra; Dhruv Shah; So Yeon Min; Kavit Shah; Chris Paxton 001; Saurabh Gupta 001; Dhruv Batra; Roozbeh Mottaghi; Jitendra Malik; et al. (Robotics: Science and Systems, 2024)

HACMan++: Spatially-Grounded Motion Primitives for Manipulation. - Bowen Jiang; Yilin Wu 003; Wenxuan Zhou; Chris Paxton 001; David Held (Robotics: Science and Systems, 2024)

Demonstrating OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics. - Peiqi Liu; Yaswanth Orru; Jay Vakil; Chris Paxton 001; Nur Muhammad (Mahi) Shafiullah; Lerrel Pinto (Robotics: Science and Systems, 2024)

OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics. - Peiqi Liu; Yaswanth Orru; Chris Paxton 001; Nur Muhammad (Mahi) Shafiullah; Lerrel Pinto (CoRR, 2024)

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

DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement. - Benjamin A. Newman; Pranay Gupta; Kris Kitani; Yonatan Bisk; Henny Admoni; Christopher Jason Paxton (CoRR, 2024)

GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering. - Saumya Saxena; Blake Buchanan; Chris Paxton 001; Bingqing Chen; Narunas Vaskevicius; Luigi Palmieri; Jonathan Francis; Oliver Kroemer (CoRR, 2024)

Real-world robot applications of foundation models: a review. - Kento Kawaharazuka; Tatsuya Matsushima; Andrew Gambardella; Jiaxian Guo; Chris Paxton 001; Andy Zeng 001 (Adv. Robotics, 2024)

Special issue on real-world robot applications of the foundation models. - Kento Kawaharazuka; Tatsuya Matsushima; Shuhei Kurita; Chris Paxton 001; Andy Zeng 001; Tetsuya Ogata; Tadahiro Taniguchi (Adv. Robotics, 2024)

Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments. - Haritheja Etukuru; Norihito Naka; Zijin Hu; Seungjae Lee 001; Julian Mehu; Aaron Edsinger; Chris Paxton 001; Soumith Chintala; Lerrel Pinto; Nur Muhammad (Mahi) Shafiullah (ICRA, 2025)

Dynamem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation. - Peiqi Liu; Zhanqiu Guo; Mohit Warke; Soumith Chintala; Chris Paxton 001; Nur Muhammad (Mahi) Shafiullah; Lerrel Pinto (ICRA, 2025)

Cascaded Diffusion Models for Neural Motion Planning. - Mohit Sharma 001; Adam Fishman; Vikash Kumar; Chris Paxton 001; Oliver Kroemer (ICRA, 2025)