Text Analysis and Automatic Triage of Posts in a Mental Health Forum. - Ehsaneddin Asgari; Soroush Nasiriany; Mohammad R. K. Mofrad (CLPsych@HLT-NAACL, 2016)

Planning with Goal-Conditioned Policies. - Soroush Nasiriany; Vitchyr Pong; Steven Lin; Sergey Levine (NeurIPS, 2019)

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. - Ajay Mandlekar; Danfei Xu; Josiah Wong; Soroush Nasiriany; Chen Wang 053; Rohun Kulkarni; Li Fei-Fei 001; Silvio Savarese; Yuke Zhu; Roberto Martín-Martín (CoRL, 2021)

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. - Soroush Nasiriany; Vitchyr H. Pong; Ashvin Nair; Alexander Khazatsky; Glen Berseth; Sergey Levine (ICRA, 2021)

Learning and Retrieval from Prior Data for Skill-based Imitation Learning. - Soroush Nasiriany; Tian Gao; Ajay Mandlekar; Yuke Zhu (CoRL, 2022)

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. - Soroush Nasiriany; Huihan Liu; Yuke Zhu (ICRA, 2022)

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations. - Ajay Mandlekar; Soroush Nasiriany; Bowen Wen; Iretiayo Akinola; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Dieter Fox (CoRL, 2023)

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. - Huihan Liu; Soroush Nasiriany; Lance Zhang; Zhiyao Bao; Yuke Zhu (Robotics: Science and Systems, 2023)

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. - Soroush Nasiriany; Fei Xia 002; Wenhao Yu 003; Ted Xiao; Jacky Liang; Ishita Dasgupta 001; Annie Xie; Danny Driess; Ayzaan Wahid; Zhuo Xu; Quan Vuong; Tingnan Zhang; et al. (ICML, 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)

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)

RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots. - Soroush Nasiriany; Abhiram Maddukuri; Lance Zhang; Adeet Parikh; Aaron Lo; Abhishek Joshi; Ajay Mandlekar; Yuke Zhu (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. (CoRR, 2024)

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots. - Soroush Nasiriany; Abhiram Maddukuri; Lance Zhang; Adeet Parikh; Aaron Lo; Abhishek Joshi; Ajay Mandlekar; Yuke Zhu (CoRR, 2024)

RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. - Soroush Nasiriany; Sean Kirmani; Tianli Ding; Laura Smith; Yuke Zhu; Danny Driess; Dorsa Sadigh; Ted Xiao (CoRR, 2024)

PRIME: Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning. - Tian Gao; Soroush Nasiriany; Huihan Liu; Quantao Yang; Yuke Zhu (IEEE Robotics Autom. Lett., 2024)

What Matters in Learning from Large-Scale Datasets for Robot Manipulation. - Vaibhav Saxena; Matthew Bronars; Nadun Ranawaka Arachchige; Kuancheng Wang; Woo-Chul Shin; Soroush Nasiriany; Ajay Mandlekar; Danfei Xu (ICLR, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation. - Abhiram Maddukuri; Zhenyu Jiang 002; Lawrence Yunliang Chen; Soroush Nasiriany; Yuqi Xie; Yu Fang; Wenqi Huang 005; Zu Wang; Zhenjia Xu; Nikita Chernyadev; Scott Reed; Ken Goldberg; et al. (CoRR, 2025)