Papers
8
Total Citations
181
H-Index
7
About
Mehdi Ammi is a leading researcher at the intersection of social robotics, haptic interaction, and human-robot communication. His work fundamentally explores how robots can perceive, express, and respond to human emotions through physical touch—a modality often overlooked in favor of vision or speech. Ammi’s most influential contributions center on the handshake as a rich channel for affective and social exchange. In his highly cited 2015 paper (38 citations), he demonstrated how haptic feedback during a handshake conveys emotional dimensions, while his 2016 study (27 citations) showed that a robot’s handshake can even reveal a person’s gender and personality traits. He further advanced the field by investigating how humans integrate facial expressions and tactile cues to perceive robot emotions (21 citations). Beyond social touch, Ammi has contributed to robotic-assisted micromanipulation, using virtual fixtures and metaphors to enhance precision in delicate tasks (35 citations). His work on activity recognition via the Internet of Things (15 citations) extends his impact into non-controlled environments. With a career spanning foundational studies in tele-micromanipulation to cutting-edge affective robotics, Ammi’s research is essential reading for anyone interested in making robots not just functional, but genuinely socially intelligent.
Research Focus
Key Achievements
Top Papers
- 1Haptic Human-Robot Affective Interaction in a Handshaking Social Protocol38 citations · 2015
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- 4Social Robotics26 citations · 2015
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