Max Robotics — Global Service Robot Directory + US Certification

About

Christian Schellewald is a leading researcher at the intersection of computer vision, robotics, and marine aquaculture, dedicated to advancing autonomous underwater operations. His primary research areas include underwater perception, 3D mesh analysis, and autonomous navigation for sea-based aquaculture. Schellewald’s most impactful contribution is his work on vision-based pose estimation for Remotely Operated Vehicles (ROVs) in fish farms, a paper that has garnered 29 citations and addresses the critical need to reduce diving risks. He has also pioneered methods for automated hole detection in salmon cage nets, with his 2022 study (8 citations) enabling early detection of breaches to prevent farmed salmon escapes. His 2024 work on robust hole-detection in triangular meshes (6 citations) provides a foundational algorithm for 3D model integrity, applicable beyond aquaculture. Schellewald’s comprehensive 2024 review (3 citations) synthesizes approaches for underwater autonomy and sensing, highlighting the sector’s growth and logistical challenges. His research directly supports sustainable aquaculture by enhancing operational safety, environmental protection, and industrial efficiency, making him a key figure in marine robotics.