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Zha, Lihan, Asher Hancock, Mingtong Zhang, Tony Yin, Yixuan Huang, Dhruv Shah, Allen Ren, and Anirudha Majumdar. 2026. “LAP: Language-Action Pre-Training Enables Zero-Shot Cross-Embodiment Transfer”. Robotics: Science and Systems (RSS).

Mark, Max Sobol, Jacky Liang, Maria Attarian, Chuyuan Fu, Debidatta Dwibedi, Aviral Kumar, and Dhruv Shah. 2026. “Long-Context Robot Imitation Learning by Focusing on Key History Frames”. Robotics: Science and Systems (RSS).

Zhang, Mingtong, and Dhruv Shah. 2026. “Visual Verification Enables Inference-Time Steering and Autonomous Policy Improvement”. Robotics: Science and Systems (RSS).

Jain, Arhan, Mingtong Zhang, Kanav Arora, William Chen, Marcel Torne, Muhammad Zubair Irshad, Sergey Zakharov, et al. 2026. “PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies”. Robotics: Science and Systems (RSS).

Hirose, Noriaki, Catherine Glossop, Dhruv Shah, and Sergey Levine. 2026. “OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot Navigation”. In IEEE International Conference on Robotics and Automation (ICRA).

Hu, Jiaheng, Mohit Shridhar, Cewu Lu, Dhruv Shah, Hao-Tien Lewis Chiang, Jie Tan, and Annie Xie. 2026. “What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents”. ArXiv Preprint.

Deshpande, Abhay, Rose Hendrix, and Dhruv Shah. 2026. “MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation”. ArXiv Preprint.

Gao, Jensen, Dorsa Sadigh, Sandy Huang, and Dhruv Shah. 2026. “Grounding Robot Generalization in Training Data via Retrieval-Augmented VLMs”. ArXiv Preprint.

Hirose, Noriaki, Catherine Glossop, Dhruv Shah, and Sergey Levine. 2026. “AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge”. ArXiv Preprint.