Dhruv Shah

First name

Dhruv

Last name

Shah

Bateman, Samuel M, Tenny Yin, Chongyi Zheng, Lei Huang, Brian Wang, Jaime Fernández Fisac, and Dhruv Shah. 2026. “Training Controllable World Models via Action Influence Maximization”. 10th Annual Conference on Robot Learning (CoRL).

Reference Link
Li, Anqi, Yuxin Chen, Zhaobo Li, Zhuo Cao, Junli Ren, Masayoshi Tomizuka, and Dhruv Shah. 2026. “Humanoid Navigation in Cluttered Environments With a Whole-Body Vision-Language-Action Model”. 10th Annual Conference on Robot Learning (CoRL).

Reference Link
Feng, Bowen, Keqin Wang, Yulong Yang, Amogh Joshi, Christine Allen-Blanchette, Felix Heide, and Dhruv Shah. 2026. “Training Generalist Navigation Policies via Action Self-Distillation”. 10th Annual Conference on Robot Learning (CoRL).

Reference Link
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).

Reference Link
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).

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

Reference Link
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).

Reference Link
Xie, Shuangyu, Kaiyuan Chen, Ziyang Chen, Simeon Adebola, Yixuan Huang, Zehan Ma, Tianshuang Qiu, et al. 2026. “RoboVista: Evaluating Vision Language Models for Diverse Robot Applications”. Robotics: Science and Systems (RSS).

Reference Link
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.

Reference Link
Deshpande, Abhay, Maya Guru, Rose Hendrix, Snehal Jauhri, Ainaz Eftekhar, Rohun Tripathi, Max Argus, et al. 2026. “MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation”. 10th Annual Conference on Robot Learning (CoRL).

Reference Link
Gao, Jensen, Dorsa Sadigh, Sandy Huang, and Dhruv Shah. 2026. “Grounding Robot Generalization in Training Data via Retrieval-Augmented VLMs”. IEEE Robotics and Automation Letters (RA-L).

Reference Link
Hirose, Noriaki, Catherine Glossop, Dhruv Shah, and Sergey Levine. 2026. “AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge”. 10th Annual Conference on Robot Learning (CoRL).

Reference Link