Malak Sayour

Lebanese American University, American University of Beirut

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About

Malak Sayour is at the forefront of intelligent robotics, pioneering work that bridges autonomous manipulation and human-machine collaboration. Her most influential research, "Autonomous Robotic Manipulation: Real-Time, Deep-Learning Approach for Grasping of Unknown Objects" (2022), has garnered 37 citations for its breakthrough in enabling robots to grasp unfamiliar objects in real time using deep learning. This work addresses a critical bottleneck in vision-based robotics, moving beyond pre-programmed tasks toward truly adaptive systems. More recently, Sayour introduced "HAC-SLAM: Human Assisted Collaborative 3D-SLAM Through Augmented Reality" (2024), a novel framework that transforms the traditionally isolated mapping process of SLAM into a collaborative human-robot endeavor using augmented reality. By allowing human input to enrich 3D maps, this work reimagines how robots perceive and navigate complex environments. Sayour’s contributions are reshaping both industrial automation and assistive robotics, demonstrating that the future of intelligent systems lies not just in autonomy, but in seamless partnership with humans. Her research is essential reading for anyone interested in the next generation of embodied AI.