Yinoussa Adagolodjo

Centre National de la Recherche Scientifique, Université de Lille

Papers

Total Citations

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About

Yinoussa Adagolodjo is a leading researcher in the mechanics and simulation of soft robotics, with a focus on developing computational models that bridge the gap between complex physical behavior and real-world control. His work centers on the coupling of numerical deformable models, particularly integrating the Finite Element Method (FEM) with Discrete Cosserat Modeling (DCM) to accurately capture both the nonlinear volume mechanics and the actuation dynamics of soft structures. His most cited paper (2021, 28 citations) introduces this hybrid approach for simulating direct and inverse kinematics of soft robots, a critical step toward precise, model-based control. More recently, Adagolodjo has advanced the understanding of growing robots, contributing a 3D kinematic and quasi-static analysis of the eversion principle (2023, 5 citations)—a mechanism with transformative potential for minimally invasive surgery, industrial inspection, and archaeological exploration. By tackling the complex deployment of inflatable, tip-driven devices, his research addresses fundamental challenges in robot-environment interaction. Adagolodjo’s work is essential reading for anyone interested in the frontier of soft robot modeling, offering both theoretical depth and practical pathways for next-generation, compliant machines.