Amir Mohammadi Nasab
Papers
15
Total Citations
833
H-Index
11
About
Amir Mohammadi Nasab is a leading researcher in soft robotics, specializing in shape memory alloy (SMA) actuators, tunable adhesion, and multifunctional composite materials. His most impactful work centers on creating fast, untethered soft robots capable of biomimetic locomotion, as demonstrated in his highly cited 2019 paper on a “Highly Dynamic Shape Memory Alloy Actuator for Fast Moving Soft Robots” (200 citations) and his 2018 study “Chasing biomimetic locomotion speeds” (187 citations), which achieved biologically relevant speeds in untethered systems. He has also pioneered rigidity-tunable soft grippers (106 citations) and dynamically tunable dry adhesion through subsurface stiffness modulation (79 citations) and pneumatic pressure (32 citations), enabling applications from climbing robots to transfer printing. More recently, his work on scalable sim-to-real transfer of soft robot designs (67 citations) and liquid metal composites (52 citations) has advanced automated design and stretchable electronics. With over 800 total citations across his top papers, Nasab’s contributions are driving the next generation of adaptive, high-performance soft robots for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Highly Dynamic Shape Memory Alloy Actuator for Fast Moving Soft Robots200 citations · 2019
- 2
- 3A Soft Gripper with Rigidity Tunable Elastomer Strips as Ligaments106 citations · 2017
- 4Dynamically Tunable Dry Adhesion via Subsurface Stiffness Modulation79 citations · 2018
- 5Scalable sim-to-real transfer of soft robot designs67 citations · 2020
- 6
- 7Switchable Adhesion via Subsurface Pressure Modulation32 citations · 2020
- 8
- 9
- 10Scale invariant robot behavior with fractals12 citations · 2021