Aerial Robotics

KAUST’s new Robotics Bay advances the Kingdom’s robotics and AI capabilities

1 min read ·
KAUST launches the Robotics Bay — a 1,000 m² facility advancing Saudi Arabia’s robotics and AI innovation under Vision 2030.

iHunter: Empowering Autonomous UAVs for Robust, Real-Time Aerial Terget Tracking and Trajectory Prediction

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B9 L2 R2325

This talk introduces iHunter, an integrated framework for UAVs to reliably detect, track, and predict the trajectories of moving targets by fusing multi-modal perception with state estimation, employing kinematic predictors and a GRU-based neural network trained on synthetic data, and demonstrating improved tracking stability and predictive performance for aerial surveillance and target interception.

Mohammed Alwagait

Mohammed is a PhD Student in the Electrical and Computer Engineering program (ECE) at KAUST. He focuses on Reinforcement Learning Based Energy Saving Path Planning and Control for UAVs.

Yasmine Marani

Yasmine is a Ph.D. candidate in Electrical and Computer Engineering under the supervision of Prof. Eric Feron and Prof. Meriem Laleg. She specializes in control theory, robotics, and artificial intelligence. Her research focuses on estimation problems for complex nonlinear systems with application to unmanned aerial vehicles (UAV) in uncertain environments.