Ahmad Kaddour
Papers
1
Total Citations
2
H-Index
1
About
Ahmad Kaddour is a pioneering researcher at the intersection of human-robot interaction (HRI), cognitive neuroscience, and motor learning. His work focuses on decoding the neural underpinnings of sensorimotor coordination, particularly how humans learn and adapt to robotic partners. Kaddour’s major contribution lies in demonstrating that electroencephalography (EEG) can predict both human and robot movement during collaborative motor tasks—a breakthrough that bridges brain-computer interfaces and real-time HRI. His most-cited paper, “Following the robot’s lead” (2025), shows that neurophysiological activity reflects the cognitive processes involved in learning behavioral sequences, offering a window into how the brain organizes time-structured actions. This work has already garnered early citations, signaling its growing influence. Kaddour’s research has profound implications for adaptive robotics, rehabilitation, and assistive technologies, where machines must anticipate and respond to human intent. By integrating neural signals with robotic control, he is laying the groundwork for more intuitive, responsive human-robot teams—a vision that promises to transform how we interact with intelligent machines in learning and performance contexts.
Research Focus
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Top Papers
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