Samir Yitzhak Gadre

Columbia University, John Brown University

Papers

Total Citations

219

H-Index

About

Samir Yitzhak Gadre is a leading researcher at the intersection of computer vision, robotics, and natural language processing. His work focuses on enabling robots to understand and act upon human language in open-world environments. Gadre’s most impactful contribution is the "CoWs on Pasture" framework, which established foundational baselines and benchmarks for language-driven zero-shot object navigation. This work, garnering over 130 citations, demonstrates how robots can locate arbitrary objects described by humans without requiring expensive, task-specific training data—a critical step toward general-purpose household robots. Earlier, Gadre pioneered the use of Mixed Reality (MR) for end-user robot programming, showing how immersive 3D visualizations and intuitive hand gestures allow non-experts to construct and modify robot motions. This highly-cited 2019 paper (78 citations) opened new avenues for accessible human-robot interaction. By bridging language understanding and embodied AI, Gadre’s research is shaping a future where robots can seamlessly follow natural language commands in unfamiliar settings, making them truly useful assistants in everyday life.