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About

Abderrahmane Lakas is a leading researcher in autonomous systems and cooperative robotics, with a focus on integrating unmanned aerial and ground vehicles (UAVs and UGV) for intelligent navigation and control. His most cited work, "A Framework for a Cooperative UAV-UGV System for Path Discovery and Planning" (37 citations), introduces a computer vision-based approach for UAV-assisted path planning, enabling autonomous ground vehicles to navigate complex environments more efficiently. Lakas also pioneers brain-computer interface (BCI) applications in robotics, as demonstrated in his 2021 paper on a cooperative EEG-based BCI control system for robot–drone interaction (16 citations), which leverages P300 signals to support assistive technologies. His research extends to practical, real-world deployments, including an IoT-based solar-powered camouflaged robot for military border surveillance (2022) and an autonomous cart pickup and delivery system (CARTS) aimed at reducing urban traffic congestion (2019). With a portfolio that bridges cutting-edge AI, sensor fusion, and human-robot interaction, Lakas’s work has significant implications for defense, logistics, and accessibility. His contributions continue to shape the future of cooperative autonomous systems, earning recognition for both technical innovation and societal impact.