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About

Jenni Raitoharju is a researcher whose work spans robotics, computer vision, and artificial intelligence, with a particular focus on autonomous systems and their real-world applications. She is perhaps best known for her contributions to multi-robot search and rescue (SAR) systems, most notably as a contributor to the highly influential 2020 paper "Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision," which has accumulated an impressive 485 citations and stands as a landmark reference in the field. Her research explores how autonomous and teleoperated robots can enhance situational awareness, victim detection, and coordination in emergency scenarios. Beyond SAR, Raitoharju has advanced autonomous maritime operations, contributing to water segmentation methods for unmanned surface vehicles and the AutoSOS project, which integrates multi-UAV systems with lightweight AI and edge computing for maritime rescue. Her interdisciplinary reach also extends to ecological monitoring, applying image-based identification techniques to invertebrate biomass estimation, and to computationally efficient speech recognition models suited for resource-constrained robotic environments. Across these diverse domains, her work consistently emphasizes practical deployment of intelligent systems, making her a versatile and impactful contributor to applied AI and autonomous robotics research.