Jacob Krantz

Oregon State Hospital, Oregon State University

Papers

Total Citations

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About

Jacob Krantz is a leading researcher in embodied AI, with a focus on vision-and-language navigation (VLN) and interactive object search. His work bridges the gap between high-level semantic understanding and low-level robotic control, enabling agents to follow natural language instructions and locate specific objects in unseen environments. Krantz’s most influential paper, “Navigating to Objects Specified by Images” (2023, 23 citations), introduces a modular system that uses visual goal specification—allowing an agent to find a particular object instance, not just a category—in both simulation and the real world. This work advances semantic visual reasoning and exploration. He also pioneered the Iterative Vision-and-Language Navigation (IVLN) paradigm (2023, 19 citations), which redefines VLN evaluation by requiring agents to operate persistently across episodes, testing long-term memory and adaptation. Krantz’s contributions are foundational for developing robots that can follow open-ended instructions and interact meaningfully with dynamic environments, making him a key figure in the next generation of embodied AI research.