Papers
16
Total Citations
800
H-Index
12
About
Amir Firouzeh is a pioneering robotics researcher whose work sits at the intersection of soft robotics, origami-inspired mechanisms, and variable stiffness systems. He is best known for developing Robogami — a low-profile, multi-degree-of-freedom robotic origami platform that integrates sensors and actuators within a compact, sheet-like architecture — first introduced in 2013 and significantly expanded upon in 2015 (108 citations). His research has consistently tackled a fundamental challenge in robotics: balancing compliance with load-bearing capacity. Firouzeh's highly cited work on underactuated origami grippers with adjustable stiffness joints (126 and 125 citations) demonstrated how shape memory polymers can dynamically modulate stiffness, enabling robots to switch between soft and rigid interaction modes. This contribution has proven transformative for gripper design, wearable rehabilitation devices, and soft actuators. His explorations of pneumatic actuators, piezoresistive sensors, IPMC-based deformable robots, and positive-pressure jamming mechanisms further reflect the breadth of his expertise. With over 700 cumulative citations across his most recognized publications, Firouzeh has established himself as a leading voice in intelligent, adaptive robotic systems with real-world applications in medical, assistive, and autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stiffness Control With Shape Memory Polymer in Underactuated Robotic Origamis125 citations · 2017
- 3Robogami: A Fully Integrated Low-Profile Robotic Origami108 citations · 2015
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- 6Sensor and actuator integrated low-profile robotic origami51 citations · 2013
- 7An IPMC-made deformable-ring-like robot50 citations · 2012
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