Papers
3
Total Citations
8
H-Index
2
About
Emily Duan is a rising innovator in soft robotics and bioinspired actuation, with a focused research program on fluidic artificial muscles (FAMs) and soft material energy harvesting. Her work bridges biological muscle architecture and engineered soft actuators, aiming to create compact, compliant, and efficient systems for human-robot interaction and stretchable devices. Duan’s most cited paper (2022, 4 citations) introduces a novel investigation into spatially constrained bipennate topology for FAM bundles, demonstrating how natural muscle fiber arrangements can be mimicked to improve actuation packaging and performance under spatial limits. She further advances this line of inquiry with a genetic algorithm-based optimization framework (2024, 2 citations) that systematically designs FAM bundles under geometric constraints, offering a computational tool for maximizing actuation efficiency. Most recently, Duan has ventured into energy harvesting, proposing a helically braided fiber-reinforced sleeve (2025, 2 citations) that amplifies strain in soft elastic materials—a mechanism with potential for powering soft robots or wearable sensors. Though her citation counts are modest, reflecting the early stage of her career, Duan’s work is notable for its integration of biological principles, optimization algorithms, and novel material architectures. Her contributions are laying groundwork for the next generation of soft, safe, and energy-autonomous robotic systems.
Research Focus
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Top Papers
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