Max Robotics — Global Service Robot Directory + US Certification

About

Jean Oh is a robotics and AI researcher whose work spans social robot navigation, human-robot interaction, and natural language understanding for autonomous systems. She is perhaps best known for her landmark 2018 paper "Social Attention: Modeling Attention in Human Crowds," which has accumulated over 700 citations and became a foundational reference for robots navigating dynamic human environments through socially aware trajectory prediction. Her influential survey on the core challenges of social robot navigation—published in both 2021 and 2023 editions—further cemented her role as a leading voice shaping the field's research agenda, garnering over 270 combined citations. Oh's earlier work on grounding natural language instructions for mobile robots demonstrated her commitment to making human-robot communication more intuitive, while her research on shared mental models highlighted the cognitive requirements for true human-robot teaming. More recently, she has expanded into creative robotics, developing FRIDA, a collaborative robotic painter that merges differentiable planning with artistic expression, and exploring reinforcement learning approaches to human-like painting. Across these diverse contributions, Oh's research consistently pursues a unifying vision: enabling robots to reason, communicate, and collaborate with humans in ways that feel genuinely natural and intelligent.