Matija Rossi

Science Foundation Ireland, University of Limerick

Papers

Total Citations

139

H-Index

About

Matija Rossi is a leading researcher in underwater robotics, specializing in autonomous intervention systems for work-class remotely operated vehicles (ROVs). His work centers on three critical challenges: visual servoing control, collision detection, and real-time 3D environmental perception for subsea manipulators. Rossi’s most influential contribution is his 2018 paper on fully automatic visual servoing control for ROV manipulators (71 citations), which pioneered a camera-based feedback approach to replace traditional teleoperation—enabling precise autonomous manipulation even in challenging currents and waves. He further advanced operational safety with his collision detection framework for underwater manipulator systems (44 citations), addressing the critical problem of limited pilot perception and poor visibility in deep-sea environments. Rossi also developed Real-Time Underwater StereoFusion (24 citations), a computer vision system that provides instantaneous 3D environmental reconstruction from stereo cameras, giving robots real-time situational awareness. His integrated approach—combining autonomous control, collision avoidance, and dense 3D sensing—represents a significant step toward fully autonomous subsea intervention, with direct applications in offshore oil and gas, underwater infrastructure maintenance, and deep-sea exploration.