Masoud Zarepoor

Papers

Total Citations

106

H-Index

About

Masoud Zarepoor is a leading researcher in soft robotics, specializing in the development of electrically-powered, bio-inspired machines that bridge the gap between rigid engineering and biological compliance. His work centers on the integration of shape memory alloys (SMAs) and liquid metal sensors to create intelligent, self-sensing soft actuators. Zarepoor’s most cited paper, “Shape memory materials for electrically-powered soft machines” (2020, 80 citations), provides a foundational framework for using programmable materials to enable crawling, swimming, and walking robots with unprecedented mechanical adaptability. In his follow-up work, “Shape Memory Alloy (SMA) Actuator With Embedded Liquid Metal Curvature Sensor for Closed-Loop Control” (2021, 26 citations), he introduced a novel actuator design that combines pre-stressed elastomers with SMA and liquid metal sensors, enabling real-time curvature feedback for precise closed-loop control. This innovation addresses a critical limitation of SMA-based actuators—their lack of integrated sensing—and paves the way for more autonomous, responsive soft robots. Zarepoor’s contributions are pivotal for advancing soft robotics from laboratory curiosities to practical, controllable machines for medical, industrial, and exploration applications.