Brett Layer

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About

Brett Layer is a rising figure in soft robotics and tensegrity systems, whose work bridges elegant mathematical modeling with practical locomotion control. His primary research focuses on the dynamics, simulation, and actuation of compliant, bio-inspired robots—particularly fabric-reinforced inflatable structures and tensegrity frameworks. In his highly cited 2022 paper, "Modeling the dynamics of soft robots by discs and threads," Layer introduced a tractable ordinary differential equation formulation that discretizes continuum soft robots into discs, springs, and threads. This lumped-parameter approach enables efficient dynamic simulation of inflatable robots, offering a powerful tool for designers seeking to predict behavior without costly finite element analysis. Building on this foundation, his 2024 work on tensegrity robots demonstrates a novel method for locomotion by manipulating movable masses along each bar of an icosahedral structure, effectively shifting the center of mass to generate motion. With 12 citations across these flagship papers, Layer’s contributions are already shaping how researchers model and control soft, deformable machines. His work stands out for its clarity and practicality, making advanced robotics concepts accessible to students and engineers alike.