Fabrik: An Online Collaborative Neural Network Editor. - Utsav Garg; Viraj Prabhu; Deshraj Yadav; Ram Ramrakhya; Harsh Agrawal; Dhruv Batra (CoRR, 2018)

Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale. - Ram Ramrakhya; Eric Undersander; Dhruv Batra; Abhishek Das (CVPR, 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)

PIRLNav: Pretraining with Imitation and RL Finetuning for OBJECTNAV. - Ram Ramrakhya; Dhruv Batra; Erik Wijmans; Abhishek Das (CVPR, 2023)

Habitat-Matterport 3D Semantics Dataset. - Karmesh Yadav; Ram Ramrakhya; Santhosh Kumar Ramakrishnan; Théophile Gervet; John M. Turner; Aaron Gokaslan; Noah Maestre; Angel Xuan Chang; Dhruv Batra; Manolis Savva; Alexander William Clegg; Devendra Singh Chaplot (CVPR, 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)

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. - Mukul Khanna; Ram Ramrakhya; Gunjan Chhablani; Sriram Yenamandra; Théophile Gervet; Matthew Chang; Zsolt Kira; Devendra Singh Chaplot; Dhruv Batra; Roozbeh Mottaghi (CVPR, 2024)

Seeing the Unseen: Visual Common Sense for Semantic Placement. - Ram Ramrakhya; Aniruddha Kembhavi; Dhruv Batra; Zsolt Kira; Kuo-Hao Zeng; Luca Weihs (CVPR, 2024)

HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation. - Naoki Yokoyama; Ram Ramrakhya; Abhishek Das; Dhruv Batra; Sehoon Ha (IROS, 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)

ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. - Ahmad Elawady; Gunjan Chhablani; Ram Ramrakhya; Karmesh Yadav; Dhruv Batra; Zsolt Kira; Andrew Szot (CoRR, 2024)

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Matthew Chang; Gunjan Chhablani; Alexander Clegg; Mikael Dallaire Cote; Ruta Desai; Michal Hlavac; Vladimir Karashchuk; Jacob Krantz; Roozbeh Mottaghi; Priyam Parashar; Siddharth Patki; Ishita Prasad; et al. (ICLR, 2025)

Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning. - Ram Ramrakhya; Matthew Chang; Xavier Puig; Ruta Desai; Zsolt Kira; Roozbeh Mottaghi (CoRR, 2025)