Keivan Mojtahedi
Papers
3
Total Citations
76
H-Index
3
About
Keivan Mojtahedi investigates the neural and computational principles underlying human physical interaction, a field at the intersection of neuroscience, robotics, and motor control. His work reveals how two people coordinate their movements when physically connected—for instance, when jointly moving a tool or an object. In a landmark study (44 citations), Mojtahedi demonstrated that during human–human physical interaction, partners can infer each other’s intended movement direction through haptic cues alone, a finding with profound implications for collaborative robotics and rehabilitation. He further showed that dyads performing object manipulation tasks develop distinct coordination strategies, with performance depending on the nature of the physical coupling (20 citations). More recently, Mojtahedi has tackled the question of how leader–follower roles emerge during physical collaboration, showing that consistent role acquisition depends on implicit haptic interactions rather than explicit instruction (12 citations). His research bridges social neuroscience and sensorimotor control, offering new insights into how humans naturally negotiate joint action. By combining rigorous experimental design with computational modeling, Mojtahedi’s work is shaping how we design robots that can physically collaborate with humans and how we understand the neural basis of interpersonal coordination.
Research Focus
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Top Papers
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