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About

Jussi Aaltonen is a robotics and mechatronics researcher whose work centers on autonomous underwater vehicles (AUVs), unmanned surface vessels (USVs), and multi-robot cooperative systems for challenging and hazardous environments. He is perhaps best known for his pivotal contributions to the UNEXMIN and UNEXUP projects — EU Horizon 2020 and EIT RawMaterials initiatives — which produced the UX-1 spherical underwater robot designed to autonomously explore flooded mines at depths of up to 500 meters, delivering optical imaging, 3D mapping, and georeferenced scientific data from otherwise inaccessible environments. His most-cited work (34 citations) provides a comprehensive system design account of this groundbreaking platform. Beyond deep-water robotics, Aaltonen has advanced the field of cooperative autonomous offshore systems, designing multi-sensor target detection architectures for combined USV-AUV platforms (21 citations) and developing model-based path planning and obstacle avoidance strategies for unmanned surface vessels. His research consistently bridges mechatronics, machine learning, and control systems engineering, demonstrating both theoretical rigor and practical implementation. Across his publication record, Aaltonen's work reflects a sustained commitment to expanding robotic capabilities in extreme, real-world environments with significant implications for marine exploration and the responsible extraction of raw materials.