Papers
4
Total Citations
39
H-Index
3
About
Arthur Barbosa is a pioneering researcher in bio-inspired soft robotics, specializing in the development and control of fish-like robotic systems actuated by macro fiber composites (MFCs). His work addresses the critical challenge of achieving natural oscillatory and undulation movements in soft robots under limited actuation, moving beyond traditional sinusoidal input signals. Barbosa’s major contributions include the experimental validation of a model-predictive motion planning strategy for MFC-actuated robotic fish, as detailed in his most-cited 2023 paper (19 citations), and a novel methodology for motion planning using model-based predictive control (2021, 15 citations). These studies demonstrate how to amplify tail motion relative to head motion, enabling more lifelike locomotion. His research integrates dynamic modeling, numerical simulations, and experimental results, as seen in his 2025 work on propulsion systems for body/caudal fin locomotion. With a growing citation impact, Barbosa’s innovations are advancing the field of soft robotics, offering practical solutions for underwater exploration and bio-mimetic design. His work is essential reading for students and researchers interested in smart materials, control systems, and bio-inspired engineering.
Research Focus
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Top Papers
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