Manuchehr Soleimani
Papers
9
Total Citations
391
H-Index
8
About
Manuchehr Soleimani is a pioneering researcher at the intersection of electrical impedance tomography (EIT) and tactile sensing, whose work is fundamentally reshaping how robots perceive touch. His primary research areas span artificial robotic skin, pressure mapping, and advanced imaging techniques, with a particular focus on creating "super-sensing" systems that mimic human tactile capabilities. His landmark 2014 review on EIT for artificial sensitive robotic skin has garnered 180 citations, establishing the theoretical foundation for the field. Soleimani's major contributions include developing pressure mapping imaging devices using conductive fabrics (52 citations) and integrating deep learning with EIT data for artificial skin applications (63 citations). He has pioneered multiple innovative approaches, including 4D capacitive imaging arrays for touchless sensing, ionic liquid-based distributed touch sensors, and magnetic inductance tomography for EM-Skin. His recent work on shape self-sensing with mutual inductance sensor arrays (2023) demonstrates his continued innovation in soft robotics. With over 400 total citations across his portfolio, Soleimani's research has profound implications for human-robot interaction, collaborative robotics, and wearable computing, making him a leading figure in the quest to give machines a true sense of touch.
Research Focus
Key Achievements
Top Papers
- 1Electrical Impedance Tomography for Artificial Sensitive Robotic Skin: A Review180 citations · 2014
- 2
- 3
- 4
- 5
- 6
- 7
- 8EM-Skin: An Artificial Robotic Skin Using Magnetic Inductance Tomography11 citations · 2023
- 9Shape Self-Sensing With Mutual Inductance Sensor Array6 citations · 2023