Amir Nasrollahi
Papers
1
Total Citations
19
H-Index
1
About
Amir Nasrollahi’s research lies at the intersection of soft robotics, tactile sensing, and human-robot interaction, with a focus on developing intelligent electronic skins that enable robots to perceive and respond to physical contact. His most cited work, “Static Tactile Sensing for a Robotic Electronic Skin via an Electromechanical Impedance-Based Approach” (2020, 19 citations), introduces a novel method for detecting static forces using impedance measurements, advancing the design of more robust and sensitive tactile interfaces for robotic systems. This contribution is critical for robots operating in human-centered environments, where safe and intuitive interaction with objects and people is paramount. Nasrollahi’s approach addresses key challenges in sensor durability and signal interpretation, offering a pathway toward more lifelike and responsive robotic hands and arms. His work has been recognized for bridging materials science and control engineering, with implications for prosthetics, manufacturing, and assistive robotics. By pushing the boundaries of how robots “feel,” Nasrollahi is helping to create machines that can better understand and collaborate with humans in shared spaces.
Research Focus
Key Achievements
Top Papers
- 1