Max Robotics — Global Service Robot Directory + US Certification

About

So-Yeon Min is a leading researcher in embodied AI and autonomous mobile robotics, with a focus on enabling robots to navigate and interact intelligently in real-world environments. Her work centers on object goal navigation, human-robot collaboration, and situated instruction following—bridging the gap between high-level human commands and low-level robot actions. Min’s most influential contribution is the GOAT (GO to Any Thing) system, which allows mobile robots to navigate to any specified object in unfamiliar spaces using only natural language, achieving 37 citations since 2024 and setting a new standard for universal navigation in homes and warehouses. She also co-developed Habitat 3.0, a groundbreaking simulation platform for studying collaborative human-robot tasks, which has garnered 15 citations for its realistic humanoid modeling and diverse interaction scenarios. Additionally, her work on self-supervised object goal navigation with in-situ finetuning demonstrates a practical approach to reducing annotation burdens, enabling robots to adapt to new homes without prior semantic mapping. Min’s research is characterized by its emphasis on real-world deployment, making her a pivotal figure in advancing robots that can seamlessly assist humans in everyday environments.