Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight. - Katie Kang; Suneel Belkhale; Gregory Kahn; Pieter Abbeel; Sergey Levine (ICRA, 2019)

Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads. - Suneel Belkhale; Rachel Li; Gregory Kahn; Rowan McAllister; Roberto Calandra; Sergey Levine (IEEE Robotics Autom. Lett., 2021)

PLATO: Predicting Latent Affordances Through Object-Centric Play. - Suneel Belkhale; Dorsa Sadigh (CoRL, 2022)

Learning Bimanual Scooping Policies for Food Acquisition. - Jennifer Grannen; Yilin Wu 003; Suneel Belkhale; Dorsa Sadigh (CoRL, 2022)

Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding. - Priya Sundaresan; Suneel Belkhale; Dorsa Sadigh (CoRL, 2022)

Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. - Suneel Belkhale; Ethan K. Gordon; Yuxiao Chen 006; Siddhartha S. Srinivasa; Tapomayukh Bhattacharjee; Dorsa Sadigh (ICRA, 2022)

HYDRA: Hybrid Robot Actions for Imitation Learning. - Suneel Belkhale; Yuchen Cui; Dorsa Sadigh (CoRL, 2023)

KITE: Keypoint-Conditioned Policies for Semantic Manipulation. - Priya Sundaresan; Suneel Belkhale; Dorsa Sadigh; Jeannette Bohg (CoRL, 2023)

In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing. - Lorenzo Shaikewitz; Yilin Wu 003; Suneel Belkhale; Jennifer Grannen; Priya Sundaresan; Dorsa Sadigh (ICRA, 2023)

Data Quality in Imitation Learning. - Suneel Belkhale; Yuchen Cui; Dorsa Sadigh (NeurIPS, 2023)

Parallel Sampling of Diffusion Models. - Andy Shih; Suneel Belkhale; Stefano Ermon; Dorsa Sadigh; Nima Anari (NeurIPS, 2023)

So You Think You Can Scale Up Autonomous Robot Data Collection? - Suvir Mirchandani; Suneel Belkhale; Joey Hejna; Evelyn Choi; Md Sazzad Islam; Dorsa Sadigh (CoRL, 2024)

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)

RT-H: Action Hierarchies using Language. - Suneel Belkhale; Tianli Ding; Ted Xiao; Pierre Sermanet; Quan Vuong; Jonathan Tompson; Yevgen Chebotar; Debidatta Dwibedi; Dorsa Sadigh (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

RT-H: Action Hierarchies Using Language. - Suneel Belkhale; Tianli Ding; Ted Xiao; Pierre Sermanet; Quon Vuong; Jonathan Tompson; Yevgen Chebotar; Debidatta Dwibedi; Dorsa Sadigh (CoRR, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Action-Free Reasoning for Policy Generalization. - Jaden Clark; Suvir Mirchandani; Dorsa Sadigh; Suneel Belkhale (CoRR, 2025)

A Taxonomy for Evaluating Generalist Robot Policies. - Jensen Gao; Suneel Belkhale; Sudeep Dasari; Ashwin Balakrishna; Dhruv Shah; Dorsa Sadigh (CoRR, 2025)

Training Strategies for Efficient Embodied Reasoning. - William Chen; Suneel Belkhale; Suvir Mirchandani; Oier Mees; Danny Driess; Karl Pertsch; Sergey Levine (CoRR, 2025)