Renato Maia Matarazzo Orsino
Papers
5
Total Citations
65
H-Index
4
About
Renato Maia Matarazzo Orsino is a robotics and mechanical engineering researcher whose work bridges theoretical dynamics and practical control systems for complex robotic architectures. His research is primarily focused on dynamic modelling methodologies for parallel and serial manipulators, as well as advanced control strategies for underwater robotic systems. Orsino has made significant contributions through his development of modular modelling frameworks, which streamline the dynamic analysis of parallel mechanisms by identifying and exploiting common subsystems — an approach that reduces computational complexity and enhances reusability across robot configurations. His 2021 series of papers on modular modelling collectively demonstrates the breadth of this methodology, garnering over 26 citations combined. His most-cited work, a 2021 paper on Disturbance-Observer-Based Model Predictive Control for Underwater Vehicle Manipulator Systems (27 citations), showcases his versatility in applying sophisticated control theory — integrating sliding mode observers with MPC to handle real-world uncertainties in challenging marine environments. Complementing these contributions, his 2018 comparative study of Lagrange's, Maggi's, and Kane's equations for serial manipulators provides valuable pedagogical and practical insight for the robotics community. Orsino's body of work reflects a consistent drive to make dynamic modelling and control design more efficient, rigorous, and broadly applicable.
Research Focus
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Top Papers
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