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About

Anuj Sehgal’s research focuses on advancing autonomous underwater vehicle (AUV) technologies, with key contributions in underwater acoustic communications, multi-robot mission simulation, and computer vision for object tracking. His work addresses critical challenges in underwater robotics, particularly the development of reliable communication systems for multi-AUV and human-diver coordination. Sehgal pioneered the modeling of underwater acoustic communications within high-fidelity robotics simulators, enabling cost-effective testing of cooperative networked tasks—a foundational step for real-world deployments. His most cited paper, “Modeling underwater acoustic communications for multi-robot missions in a robotics simulator” (2010, 19 citations), demonstrates this impact. Additionally, he developed the TOUCH vision system (2005, 10 citations), a real-time algorithm for underwater object tracking using modified 4-connectivity, aiding AUV and ROV operations. Sehgal also contributed to the LUV (Low Cost Underwater Vehicle) project, promoting accessible AUV development for emerging nations. His simulation frameworks, like the multi-AUV missions simulator for USARSim, have been instrumental in validating acoustic communication protocols. With a focus on sensor fusion and navigation, Sehgal’s work bridges simulation and practical deployment, supporting global underwater exploration and monitoring efforts.