Jason Kadarusman

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About

Jason Kadarusman is a pioneering researcher in underwater robotics and computer vision, whose work has laid foundational groundwork for autonomous underwater vehicle (AUV) and remotely operated vehicle (ROV) operations. His most significant contribution is the development of the TOUCH system, a real-time computer vision algorithm designed for underwater object tracking. By employing a modified 4-connectivity approach to scan incoming frames for specific target hue ranges, Kadarusman created a robust solution that enables AUVs and ROVs to effectively identify and follow objects in challenging subsea environments. This work, published in 2005, has garnered 10 citations and remains a reference point for vision-based underwater navigation. Additionally, Kadarusman contributed to the design of the Low Cost Underwater Vehicle (LUV) in 2004, demonstrating his commitment to making underwater robotics more accessible. The LUV project addressed the growing need for affordable platforms for exploration, pipeline monitoring, and scientific research. Through these efforts, Kadarusman has helped bridge the gap between theoretical computer vision and practical marine robotics, inspiring subsequent innovations in autonomous underwater systems.