Michele Gadaleta
Papers
7
Total Citations
290
H-Index
6
About
Michele Gadaleta is a leading researcher in sustainable industrial robotics, specializing in energy-efficient automation and robotic cell optimization. His work addresses the critical challenge of reducing energy consumption in manufacturing, where industrial robots account for a significant portion of operational costs. Gadaleta’s seminal 2019 paper, “Optimization of the energy consumption of industrial robots for automatic code generation,” has garnered 157 citations, establishing a foundational framework for integrating energy-saving algorithms directly into robot programming. He further advanced the field with an extensive experimental study in 2020, providing an open research dataset that enables reproducible validation of energy optimization strategies. Gadaleta also developed a novel simulation tool interfaced with Delmia Robotics, allowing engineers to compute energy-optimal motion parameters automatically. His investigations into DC-powered industrial robots demonstrated substantial energy reductions compared to conventional AC systems, and he contributed to reconfigurable robotic deburring and flexure-based assembly devices. Through these contributions, Gadaleta has shaped how modern manufacturing systems balance productivity with sustainability, making his work essential reading for researchers and engineers pursuing greener, more intelligent automation.
Research Focus
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Top Papers
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- 7Virtual Prototyping of a Flexure-based RCC Device for Automated Assembly6 citations · 2017