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Career

· Researcher, University of California, Berkeley2020–
· Researcher/Graduate Student, UC Berkeley Berkeley Artificial Intelligence Research Lab (BAIR)2016–

Publications (28)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Conference on Robot Learning · 2021
713
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
arXiv.org · 2025
422
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Conference on Robot Learning · 2023
246
cited
Planning with Goal-Conditioned Policies
Neural Information Processing Systems · 2019
236
cited
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
arXiv.org · 2024
215
cited
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
International Conference on Machine Learning · 2024
185
cited
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
IEEE International Conference on Robotics and Automation · 2021
134
cited
Robot learning on the job: Human-in-the-loop autonomy and learning during deployment
Robotics: Science and Systems · 2022
105
cited
Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Conference on Robot Learning · 2022
77
cited
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Robotics · 2025
35
cited
RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation
IEEE International Conference on Robotics and Automation · 2024
33
cited
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
arXiv.org · 2024
30
cited
What Matters in Learning from Large-Scale Datasets for Robot Manipulation
International Conference on Learning Representations · 2025
17
cited
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
IEEE International Conference on Robotics and Automation · 2021
15
cited
RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots
Robotics: Science and Systems · 2024
15
cited
PRIME: Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning
IEEE Robotics and Automation Letters · 2024
13
cited
Texts in Statistics An Introduction to Statistical Learning
2017
12
cited
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Soroush Nasiriany | Researcher Profile | Sotabase | Sotabase