Soroush Nasiriany

I am a CS PhD student at UT Austin, advised by Professor Yuke Zhu at the Robot Perception and Learning Lab. I'm working towards developing versatile robot agents that can be deployed in the real world, using tools from machine learning, cognitive science, and computer vision.

Previously, I recieved my undergraduate and master's degrees from UC Berkeley, where I was advised by Professor Sergey Levine. During my time at Berkeley, I helped develop the curriculum for CS 189, the machine learning course.

	Robot Learning on the Job: Human-in-the-Loop Manipulation and Learning During Deployment Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu Robotics: Science and Systems (RSS), 2023 Best Paper Award Finalist Project Paper Code
	Learning and Retrieval from Prior Data for Skill-based Imitation Learning Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu Conference on Robot Learning (CoRL), 2022 Project Paper Code
	Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany, Huihan Liu, Yuke Zhu IEEE International Conference on Robotics and Automation (ICRA), 2022 Outstanding Learning Paper Project Paper Code
	What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín Conference on Robot Learning (CoRL), 2021 Oral Presentation Project Paper Code
	robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Mart ́ın-Mart ́ın, Abhishek Joshi, Soroush Nasiriany, Yifeng Zhu Technical report, 2020 Project Paper Code
	DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine IEEE International Conference on Robotics and Automation (ICRA), 2021* Project Paper
	Planning with Goal-Conditioned Policies Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine Advances in Neural Information Processing Systems, 2019 Project Paper Code

Papers

Teaching and Service

Teaching

Service