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About

Amer Orucevic is a rising researcher in the field of bio-inspired robotics, specializing in the modeling and control of underwater snake robots (USRs). His work focuses on solving fundamental challenges in autonomous underwater vehicle (AUV) operation, including position control, energy harvesting, and gait optimization. Orucevic’s most cited paper (2022, 4 citations) introduces a Lyapunov-based framework for uniform practical asymptotic stability (UPAS), enabling precise position control of planar USRs. In a 2023 study (3 citations), he demonstrated optimal positioning of snake robots in vortex wakes using extremum-seeking control, showing how these robots can harvest energy from fluid flows. His 2024 work (3 citations) developed automatic alignment controllers that allow USRs to autonomously position themselves in bluff-body wakes while maintaining swimming gaits. Another 2024 paper (2 citations) applies nonlinear model predictive control to optimize sinusoidal gait tracking, directly addressing energy efficiency—a critical barrier to AUV endurance. Though early in his career, Orucevic’s contributions are already shaping the next generation of energy-autonomous, articulated underwater robots, bridging control theory, fluid dynamics, and practical robotics.