Papers
25
Total Citations
814
H-Index
15
About
Alexandre Kruszewski is a prominent researcher whose work spans two interconnected domains: soft robotics control and networked control systems. He is best known for pioneering the application of Finite Element Method (FEM)-based modeling to achieve real-time kinematics and closed-loop control of soft and continuum manipulators, a contribution that has fundamentally shaped how researchers approach the inherently nonlinear, compliant behavior of these systems. His 2018 paper on FEM-based kinematics alone has garnered 127 citations, reflecting its foundational influence in the field. Kruszewski's research consistently addresses the computational challenges of FEM, developing reduced-order models and state observers that make dynamic control of soft robots practically feasible in real-time environments. His bio-inspired deformable spine manipulator and visual servoing strategies further demonstrate his ability to bridge theoretical modeling with experimental implementation. Notably, his interdisciplinary reach extends to biomedical robotics, including robot-assisted in vivo mass spectrometry imaging. Earlier in his career, Kruszewski made significant contributions to networked control systems, proposing switched-system frameworks for exponential stabilization over communication networks. With multiple papers exceeding 50 citations and a cumulative body of work influencing both robotics and control engineering communities, he stands as a leading voice in model-based soft robot control design.
Research Focus
Key Achievements
Top Papers
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- 4Control Design for Soft Robots based on Reduced Order Model79 citations · 2018
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- 9Visual servoing control of soft robots based on finite element model30 citations · 2017
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