Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. - Aadarsh Sahoo; Rutav Shah; Rameswar Panda; Kate Saenko; Abir Das (NeurIPS, 2021)

MUTEX: Learning Unified Policies from Multimodal Task Specifications. - Rutav Shah; Roberto Martín-Martín; Yuke Zhu (CoRL, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery. - Weikang Wan; Yifeng Zhu; Rutav Shah; Yuke Zhu (ICRA, 2024)

BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation. - Rutav Shah; Albert Yu 002; Yifeng Zhu; Yuke Zhu; Roberto Martín-Martín (CoRR, 2024)

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning. - Yu Zhang; Yuqi Xie; Huihan Liu; Rutav Shah; Michael Wan; Linxi Fan; Yuke Zhu (CoRR, 2025)

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models. - Huihan Liu; Rutav Shah; Shuijing Liu; Jack Pittenger; Mingyo Seo; Yuchen Cui; Yonatan Bisk; Roberto Martín-Martín; Yuke Zhu (CoRR, 2025)