Max Robotics — Global Service Robot Directory + US Certification

About

Ingrid Navarro is a robotics researcher whose work sits at the intersection of social navigation, trajectory prediction, and human-robot teaming. She is best known for developing algorithms that enable autonomous systems—both ground and aerial—to safely and seamlessly operate in crowded, dynamic environments shared with humans. Her highly cited paper, “Social-PatteRNN: Socially-Aware Trajectory Prediction Guided by Motion Patterns” (14 citations), introduces a novel approach to predicting human intent by learning motion patterns, a critical capability for safe human-robot interaction. In “SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation” (5 citations), she extends this work to long-horizon planning, combining learned motion prediction with tree search to navigate complex social spaces. Navarro also addresses the emerging challenge of manned-unmanned aircraft teaming in “Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace” (6 citations), proposing integrated systems for safe aerial collaboration. Her contributions are foundational to building trustworthy robots that can reason about and adapt to human behavior, with direct applications in service robotics, autonomous driving, and urban air mobility.