Ferdinand Binkofski
Universität Hamburg, RWTH Aachen University, Forschungszentrum Jülich
Papers
6
Total Citations
716
H-Index
5
About
Ferdinand Binkofski is a pioneering neuroscientist whose research sits at the intersection of cognitive neuroscience, social robotics, and embodied cognition. His work fundamentally explores how the human brain perceives, interacts with, and attributes human-like qualities to machines—a question of growing urgency in our increasingly automated world. Binkofski’s most influential contribution, the 2008 fMRI study “Can Machines Think?” (486 citations), demonstrated that humans implicitly engage brain networks involved in social interaction and perspective-taking when observing robots, revealing the neural underpinnings of our tendency to anthropomorphize technology. His 2010 paper “Grasping language – A short story on embodiment” (177 citations) further cemented his role in the embodiment debate, linking motor and language systems in the brain. More recently, Binkofski has investigated how biological sex and gender influence the perception of robotic versus humanoid actions, with studies showing that these factors significantly affect acceptance and trust in human-robot collaboration—critical insights for designing robots in healthcare, rehabilitation, and industrial assembly. His work bridges fundamental mirror neuron research with applied human-robot interaction, making him a key figure in understanding how our brains navigate the boundary between human and machine.
Research Focus
Key Achievements
Top Papers
- 1
- 2Grasping language – A short story on embodiment177 citations · 2010
- 3Gender Effects in Observation of Robotic and Humanoid Actions27 citations · 2020
- 4Mirror Neuronsand Human-robot Interaction in Assembly Cells16 citations · 2015
- 5Perception of robotic actions and the influence of gender5 citations · 2024
- 6