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.

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

Paper

	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 Project Paper
	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 Project Paper Code
	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 Project Paper Code
	DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset DROID Collaboration Robotics: Science and Systems (RSS), 2024 Project Paper Code
	Open X-Embodiment: Robotic Learning Datasets and RT-X Models Open X-Embodiment Collaboration IEEE International Conference on Robotics and Automation (ICRA), 2024 Project Paper Code

Papers