Sameer Dharur

Papers

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About

Sameer Dharur is a leading researcher in embodied artificial intelligence, with a primary focus on training virtual agents to interact with and rearrange complex, physics-enabled 3D environments. His most influential work, "Habitat 2.0: Training Home Assistants to Rearrange their Habitat" (2021), has garnered 25 citations and represents a landmark contribution to the embodied AI stack. Dharur and his team introduced a comprehensive simulation platform that advances data generation, simulation fidelity, and benchmark tasks, enabling virtual robots to perform realistic home assistance and object rearrangement. This work bridges the gap between simulated training and real-world deployment, offering a robust framework for developing intelligent home assistants. Dharur’s contributions are pivotal for researchers and students exploring interactive AI, as his platform provides standardized tools to evaluate and improve robotic reasoning and manipulation in dynamic, cluttered spaces. His efforts are shaping the next generation of embodied agents capable of understanding and altering their physical surroundings.