Mohamad Alsalman

University of Southern California, American University of Beirut

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About

Mohamad Alsalman is a researcher at the intersection of bio-inspired robotics and mechanical design, whose work advances both the sensory intelligence and physical mobility of autonomous systems. His most influential contribution, "Training bioinspired sensors to classify flows" (33 citations), tackles the inverse problem of classifying ambient flow patterns using local sensory data—a challenge directly inspired by aquatic organisms. This research is pivotal for enabling underwater robotic vehicles to interpret their environment through fluid dynamics, bridging biology and engineering. Alsalman has also made significant strides in robotic locomotion, developing and modeling a novel single-actuator, differentially-driven robot with a variable-diameter wheel. His work on modeling variable-diameter wheeled robots for traversing rough terrain (4 citations) provides a sophisticated three-dimensional dynamical framework using Lagrangian mechanics, offering new tools for motion planning on uneven surfaces. By combining sensor-driven environmental perception with innovative mechanical design, Alsalman’s research contributes to the next generation of adaptable, perceptive robots capable of operating in complex, unstructured environments.