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Abhiram Maddukuri
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Abhiram Maddukuri
I am a Masters computer science student at UT Austin, fortunate to be advised by Professor Yuke Zhu and Georgios Pavlakos. I am broadly interested in harnessing diverse data sources to build generalist agents. My past work has focused on developing large-scale simulation platforms and exploring how to effectively leverage simulation datasets for imitation learning. |
Papers
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RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
Soroush Nasiriany*, Sepehr Nasiriany*, Abhiram Maddukuri*, Yuke Zhu
Under Review at the International Conference on Learning Representations (ICLR), 2026
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Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri*, Zhenyu Jiang*, Lawrence Yunliang Chen*, Soroush Nasiriany*, Yuqi Xie, Yu Fang, Wenqi Huang, Zu Wang, Zhenjia Xu, Nikita Chernyadev, Scott Reed, Ken Goldberg, Ajay Mandlekar†, Linxi Fan†, Yuke Zhu†
Robotics: Science and Systems (RSS), 2025
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robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Abhishek Joshi, Kevin Lin, Abhiram Maddukuri, Soroush Nasiriany, Yifeng Zhu
Technical report, 2025
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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
Robotics: Science and Systems (RSS), 2024
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DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
DROID Collaboration
Robotics: Science and Systems (RSS), 2024
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation (ICRA), 2024
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Website adapted from Soroush Nasiriany's page (with permission)