Paxton, Chris

15 publications

CoRL 2025 GraphEQA: Using 3D Semantic Scene Graphs for Real-Time Embodied Question Answering Saumya Saxena, Blake Buchanan, Chris Paxton, Peiqi Liu, Bingqing Chen, Narunas Vaskevicius, Luigi Palmieri, Jonathan Francis, Oliver Kroemer

CVPR 2024 OpenEQA: Embodied Question Answering in the Era of Foundation Models 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 Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran

CoLLAs 2023 Evaluating Continual Learning on a Home Robot Sam Powers, Abhinav Gupta, Chris Paxton

CoRL 2023 HACMan: Learning Hybrid Actor-Critic Maps for 6d Non-Prehensile Manipulation Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held

CoRL 2023 HomeRobot: Open-Vocabulary Mobile Manipulation Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Theophile 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

NeurIPSW 2023 HomeRobot: Open-Vocabulary Mobile Manipulation Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S Wang, Mukul Khanna, Theophile 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

ICCV 2023 Navigating to Objects Specified by Images Jacob Krantz, Theophile Gervet, Karmesh Yadav, Austin Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot

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

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

NeurIPS 2022 Pre-Trained Language Models for Interactive Decision-Making 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

CoRL 2021 A Persistent Spatial Semantic Representation for High-Level Natural Language Instruction Execution Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi

CoRL 2021 Language Grounding with 3D Objects Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer

CoRL 2021 Predicting Stable Configurations for Semantic Placement of Novel Objects Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox

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

CoRL 2019 Conditional Driving from Natural Language Instructions Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox