Areg Karapetyan

Khalifa University of Science and Technology

Papers

Total Citations

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About

Areg Karapetyan is an emerging researcher at the intersection of autonomous systems, machine learning, and intelligent robotics, with a focus on real-world applications that push the boundaries of safe and efficient mobile autonomy. His work addresses some of the most technically demanding challenges in ground vehicle navigation and last-mile logistics, combining deep learning with practical engineering constraints. Karapetyan's most recognized contribution is his development of a hybrid deep learning framework for predicting wheel slip in off-road environments — a notoriously difficult problem due to the complex dynamics of unpaved surfaces such as sand, gravel, and mud. This work, which has garnered 10 citations since its 2022 publication, offers a meaningful step forward in enabling ground vehicles to navigate challenging terrain safely and plan optimal trajectories with greater confidence. Building on this foundation, his 2023 research on AI-augmented self-driving delivery robots tackles the costly and time-intensive challenge of last-mile delivery, proposing autonomous solutions that address both economic pressures and environmental concerns driven by the e-commerce boom. Though early in citation count, this work signals a broader research vision: making autonomous systems not only intelligent, but genuinely deployable in complex, human-centered environments.