Zaher Al Barakeh

Papers

Total Citations

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About

Zaher Al Barakeh is a pioneering researcher at the intersection of humanoid robotics, neurorobotics, and affective computing. His work explores how robots can not only mimic human movement but also understand and digitize human emotions, pushing the boundaries of human-robot interaction. Al Barakeh’s most influential paper, "Pepper Humanoid Robot as a Service Robot: a Customer Approach" (2019, 40 citations), analyzes the deployment of humanoid robots in service roles, addressing their potential to replace humans in hazardous or repetitive tasks. He extends this vision into the realm of cognitive robotics with "Towards Human Brain Image Mapping for Emotion Digitization in Robotics" (2019, 12 citations), which surveys brain-computer interface (BCI) systems and presents a proof-of-concept for mapping human brain activity into robotic control. His most recent notable work, "Machine Empathy: Digitizing Human Emotions" (2021, 10 citations), demonstrates a practical BCI system using an Emotiv Epoc headset to capture EEG signals and translate them into a two-dimensional emotional representation. By bridging neuroscience and robotics, Al Barakeh is laying the groundwork for emotionally intelligent machines, making him a key voice in the future of empathetic and socially aware robots.