Embodied Question Answering in Photorealistic Environments With Point Cloud Perception. - Erik Wijmans; Samyak Datta; Oleksandr Maksymets; Abhishek Das; Georgia Gkioxari; Stefan Lee; Irfan Essa; Devi Parikh; Dhruv Batra (CVPR, 2019)

Habitat: A Platform for Embodied AI Research. - Manolis Savva; Jitendra Malik; Devi Parikh; Dhruv Batra; Abhishek Kadian; Oleksandr Maksymets; Yili Zhao; Erik Wijmans; Bhavana Jain; Julian Straub; Jia Liu; Vladlen Koltun (ICCV, 2019)

Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. - Samyak Datta; Oleksandr Maksymets; Judy Hoffman; Stefan Lee; Dhruv Batra; Devi Parikh (CoRL, 2020)

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects. - Dhruv Batra; Aaron Gokaslan; Aniruddha Kembhavi; Oleksandr Maksymets; Roozbeh Mottaghi; Manolis Savva; Alexander Toshev; Erik Wijmans (CoRR, 2020)

Waypoint Models for Instruction-guided Navigation in Continuous Environments. - Jacob Krantz; Aaron Gokaslan; Dhruv Batra; Stefan Lee; Oleksandr Maksymets (ICCV, 2021)

THDA: Treasure Hunt Data Augmentation for Semantic Navigation. - Oleksandr Maksymets; Vincent Cartillier; Aaron Gokaslan; Erik Wijmans; Wojciech Galuba; Stefan Lee; Dhruv Batra (ICCV, 2021)

Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI. - Santhosh Kumar Ramakrishnan; Aaron Gokaslan; Erik Wijmans; Oleksandr Maksymets; Alexander Clegg; John M. Turner; Eric Undersander; Wojciech Galuba; Andrew Westbury; Angel X. Chang; Manolis Savva; Yili Zhao; et al. (NeurIPS Datasets and Benchmarks, 2021)

Habitat 2.0: Training Home Assistants to Rearrange their Habitat. - Andrew Szot; Alexander Clegg; Eric Undersander; Erik Wijmans; Yili Zhao; John M. Turner; Noah Maestre; Mustafa Mukadam; Devendra Singh Chaplot; Oleksandr Maksymets; Aaron Gokaslan; Vladimir Vondrus; et al. (NeurIPS, 2021)

Is Mapping Necessary for Realistic PointGoal Navigation? - Ruslan Partsey; Erik Wijmans; Naoki Yokoyama; Oles Dobosevych; Dhruv Batra; Oleksandr Maksymets (CVPR, 2022)

Memory-Augmented Reinforcement Learning for Image-Goal Navigation. - Lina Mezghani; Sainbayar Sukhbaatar; Thibaut Lavril; Oleksandr Maksymets; Dhruv Batra; Piotr Bojanowski; Karteek Alahari (IROS, 2022)

Offline Visual Representation Learning for Embodied Navigation. - Karmesh Yadav; Ram Ramrakhya; Arjun Majumdar; Vincent-Pierre Berges; Sachit Kuhar; Dhruv Batra; Alexei Baevski; Oleksandr Maksymets (CoRR, 2022)

Retrospectives on the Embodied AI Workshop. - Matt Deitke; Dhruv Batra; Yonatan Bisk; Tommaso Campari; Angel X. Chang; Devendra Singh Chaplot; Changan Chen; Claudia Pérez-D'Arpino; Kiana Ehsani; Ali Farhadi; Li Fei-Fei 001; Anthony G. Francis; et al. (CoRR, 2022)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Tingfan Wu; Jay Vakil; Pieter Abbeel; Jitendra Malik; et al. (NeurIPS, 2023)

OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav. - Karmesh Yadav; Arjun Majumdar; Ram Ramrakhya; Naoki Yokoyama; Alexei Baevski; Zsolt Kira; Oleksandr Maksymets; Dhruv Batra (CoRR, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Pieter Abbeel; Jitendra Malik; Dhruv Batra; Yixin Lin; et al. (CoRR, 2023)

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)

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. - Xavier Puig; Eric Undersander; Andrew Szot; Mikael Dallaire Cote; Tsung-Yen Yang; Ruslan Partsey; Ruta Desai; Alexander Clegg; Michal Hlavac; So Yeon Min; Vladimir Vondrus; Théophile Gervet; et al. (ICLR, 2024)

What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? - Sneha Silwal; Karmesh Yadav; Tingfan Wu; Jay Vakil; Arjun Majumdar; Sergio Arnaud; Claire Chen; Vincent-Pierre Berges; Dhruv Batra; Aravind Rajeswaran; Mrinal Kalakrishnan; Franziska Meier; et al. (ICRA, 2024)

LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding. - Ang Cao; Sergio Arnaud; Oleksandr Maksymets; Jianing Yang; Ayush Jain; Sriram Yenamandra; Ada Martin; Vincent-Pierre Berges; Paul McVay; Ruslan Partsey; Aravind Rajeswaran; Franziska Meier; et al. (CoRR, 2025)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - Sergio Arnaud; Paul McVay; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berges; Mikael Henaff; et al. (CoRR, 2025)