Haritheja Etukuru

Papers

Total Citations

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About

Haritheja Etukuru is an emerging robotics researcher whose work sits at the intersection of generalist robot learning, home robotics, and behavior generation. His research addresses one of the most ambitious challenges in modern AI: enabling robots to operate effectively across diverse, unstructured real-world environments without task-specific retraining. In his notable work on Robot Utility Models, Etukuru explores how large-scale training data can empower robot policies to generalize in zero-shot deployment scenarios — a significant step toward practical, adaptable robotic systems. His complementary work, "On Bringing Robots Home," examines the compelling vision of integrating generalist machines into domestic settings, moving beyond single-purpose appliances toward robots capable of broad, flexible assistance. His research on behavior generation with latent actions tackles a fundamental challenge in decision-making: modeling complex, multimodal continuous action distributions from diverse datasets, pushing the boundaries of how robots learn and express behavior. Though early in his citation trajectory — with his papers accumulating citations across 2023–2025 — Etukuru's contributions reflect a coherent and forward-looking research agenda. Students interested in robot learning, generalization, and the future of home automation will find his work a valuable and thought-provoking entry point into these rapidly evolving fields.