Jose Andres Millan-Romera

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About

Jose Andres Millan-Romera is an emerging robotics researcher whose work sits at the intersection of robot localization, simultaneous localization and mapping (SLAM), and human-robot interaction. His research focuses on enabling robots — particularly legged platforms — to navigate complex indoor environments more intelligently by leveraging prior architectural knowledge. His most impactful contribution, "Graph-Based Global Robot Localization Informing Situational Graphs with Architectural Graphs" (2023, 11 citations), introduces a novel framework that converts building floor plans into structured architectural graphs, allowing robots to localize themselves globally without relying solely on sensor data. This work represents a meaningful step toward practical, plan-aware autonomy in real-world deployments. Building on this foundation, his 2025 paper on tightly coupled SLAM addresses a critical but often overlooked challenge: handling imprecise or outdated architectural plans during navigation. Beyond localization, Millan-Romera has expanded his research interests into human-robot interaction, exploring how large language models and behavior trees can make robot control more interpretable and accessible to non-expert users. Though early in his career, his growing publication record and cross-disciplinary scope signal a researcher poised to make lasting contributions to intelligent, human-centered robotic systems.