Papers
1
Total Citations
21
H-Index
1
About
Antonio B.S. is a researcher in robotics and control systems, with a focus on optimizing the performance of industrial manipulators. His work centers on the comparative analysis of classical and modern control strategies, particularly the Proportional-Integral-Derivative (PID) and Linear Quadratic Regulator (LQR) controllers. His most cited paper, "Performance Comparison Between the PID and LQR Controllers Applied to a Robotic Manipulator Joint" (2019), has garnered 21 citations, establishing a foundational reference for engineers seeking to enhance robotic efficiency. In this study, Antonio systematically evaluates the trade-offs between these two control approaches, providing critical insights into their respective strengths in precision, stability, and energy consumption. His contributions are especially relevant to the growing demand for more sophisticated and reliable automation in production systems. By bridging theoretical control theory with practical robotic applications, Antonio’s work supports the development of smarter, more responsive industrial robots. His research continues to influence students and practitioners aiming to advance the next generation of automated manufacturing technologies.
Research Focus
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Top Papers
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