SLAP: Spatial-Language Attention Policies. - Priyam Parashar; Vidhi Jain; Xiaohan Zhang 002; Jay Vakil; Sam Powers; Yonatan Bisk; Chris Paxton 001 (CoRL, 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; Tingfan Wu; Jay Vakil; Pieter Abbeel; Jitendra Malik; et al. (NeurIPS, 2023)

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

RoboHive: A Unified Framework for Robot Learning. - Vikash Kumar; Rutav M. Shah; Gaoyue Zhou; Vincent Moens; Vittorio Caggiano; Jay Vakil; Abhishek Gupta 004; Aravind Rajeswaran (CoRR, 2023)

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. - Homanga Bharadhwaj; Jay Vakil; Mohit Sharma; Abhinav Gupta 001; Shubham Tulsiani; Vikash Kumar (ICRA, 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)

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)

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)