Generalization Guarantees for Imitation Learning. - Allen Z. Ren; Sushant Veer; Anirudha Majumdar (CoRL, 2020)

Generalization Guarantees for Multi-Modal Imitation Learning. - Allen Z. Ren; Sushant Veer; Anirudha Majumdar (CoRR, 2020)

Leveraging Language for Accelerated Learning of Tool Manipulation. - Allen Z. Ren; Bharat Govil; Tsung-Yen Yang; Karthik R. Narasimhan; Anirudha Majumdar (CoRL, 2022)

Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. - Abhinav Agarwal; Sushant Veer; Allen Z. Ren; Anirudha Majumdar (ICRA, 2022)

Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. - Alec Farid; David Snyder; Allen Z. Ren; Anirudha Majumdar (Robotics: Science and Systems, 2022)

Distributionally Robust Policy Learning via Adversarial Environment Generation. - Allen Z. Ren; Anirudha Majumdar (IEEE Robotics Autom. Lett., 2022)

AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. - Allen Z. Ren; Hongkai Dai; Benjamin Burchfiel; Anirudha Majumdar (CoRL, 2023)

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. - Allen Z. Ren; Anushri Dixit; Alexandra Bodrova; Sumeet Singh; Stephen Tu; Noah Brown; Peng Xu 010; Leila Takayama; Fei Xia 002; Jake Varley; Zhenjia Xu; Dorsa Sadigh; et al. (CoRL, 2023)

FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors. - Nathaniel Simon; Allen Z. Ren; Alexander Piqué; David Snyder; Daphne Barretto; Marcus Hultmark; Anirudha Majumdar (ICRA, 2023)

Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees. - Kai-Chieh Hsu; Allen Z. Ren; Duy Phuong Nguyen; Anirudha Majumdar; Jaime F. Fisac (Artif. Intell., 2023)

Learning a Universal Human Prior for Dexterous Manipulation from Human Preference. - Zihan Ding; Yuanpei Chen; Allen Z. Ren; Shixiang Shane Gu; Hao Dong 003; Chi Jin 001 (CoRR, 2023)

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint). - Kai-Chieh Hsu; Allen Z. Ren; Duy Phuong Nguyen; Anirudha Majumdar; Jaime F. Fisac (AAAI, 2024)

Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. - Anushri Dixit; Zhiting Mei; Meghan Booker; Mariko Storey-Matsutani; Allen Z. Ren; Anirudha Majumdar (CoRL, 2024)

How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies. - Montserrat Gonzalez Arenas; Ted Xiao; Sumeet Singh; Vidhi Jain; Allen Z. Ren; Quan Vuong; Jake Varley; Alexander Herzog; Isabel Leal; Sean Kirmani; Mario Prats; Dorsa Sadigh; et al. (ICRA, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

Explore until Confident: Efficient Exploration for Embodied Question Answering. - Allen Z. Ren; Jaden Clark; Anushri Dixit; Masha Itkina; Anirudha Majumdar; Dorsa Sadigh (Robotics: Science and Systems, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. - Asher Hancock; Allen Z. Ren; Anirudha Majumdar (CoRR, 2024)

Thinking Forward and Backward: Effective Backward Planning with Large Language Models. - Allen Z. Ren; Brian Ichter; Anirudha Majumdar (CoRR, 2024)

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions. - Ola Shorinwa; Zhiting Mei; Justin Lidard; Allen Z. Ren; Anirudha Majumdar (CoRR, 2024)

Diffusion Policy Policy Optimization. - Allen Z. Ren; Justin Lidard; Lars Lien Ankile; Anthony Simeonov; Pulkit Agrawal 001; Anirudha Majumdar; Benjamin Burchfiel; Hongkai Dai; Max Simchowitz (ICLR, 2025)

π0.5: a Vision-Language-Action Model with Open-World Generalization. - Physical Intelligence; Kevin Black; Noah Brown; James Darpinian; Karan Dhabalia; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Manuel Y. Galliker; Dibya Ghosh; et al. (CoRR, 2025)

Guiding Data Collection via Factored Scaling Curves. - Lihan Zha; Apurva Badithela; Michael Zhang; Justin Lidard; Jeremy Bao; Emily Zhou; David Snyder; Allen Z. Ren; Dhruv Shah; Anirudha Majumdar (CoRR, 2025)

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better. - Danny Driess; Jost Tobias Springenberg; Brian Ichter; Lili Yu; Adrian Li-Bell; Karl Pertsch; Allen Z. Ren; Homer Walke; Quan Vuong; Lucy Xiaoyang Shi; Sergey Levine (CoRR, 2025)