Scholar
Soroush Nasiriany
Google Scholar ID: bBLqsgkAAAAJ
The University of Texas at Austin
Citations & Impact
Citations
3,521
H-index
15
i10-index
17
Publications
19
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as Robotics: Science and Systems (RSS), International Conference on Learning Representations (ICLR), IEEE International Conference on Robotics and Automation (ICRA), Conference on Robot Learning (CoRL), and International Conference on Machine Learning (ICML). Some papers have been nominated for best paper awards.
Research Experience
- Involved in multiple robotics-related projects and research at institutions like NVIDIA, including Sim-and-Real Co-Training, GR00T N1, What Matters in Learning from Large-Scale Datasets for Robot Manipulation, RT-Affordance, RoboCasa, DROID, PRIME, PIVOT, Open X-Embodiment, MimicGen, Robot Learning on the Job, Learning and Retrieval from Prior Data for Skill-based Imitation Learning, Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks.
Education
- Received undergraduate and master's degrees from UC Berkeley, where he was advised by Professor Sergey Levine.
Background
- A final-year CS PhD student at UT Austin, advised by Professor Yuke Zhu. Interested in building intelligent robot agents that can perform useful behaviors in diverse real world settings. Recently working on harnessing diverse sources of data to build a powerful foundation model for robotics.
Co-authors