Mario Bibiano da Silva
Papers
1
Total Citations
2
H-Index
1
About
Mario Bibiano da Silva is a researcher in robotics and autonomous navigation, with a particular focus on intelligent control systems for mobile robots. His work centers on the application of fuzzy logic and potential field methods to solve complex motion planning problems in dynamic environments. In his notable 2013 paper, "Velocity and direction planning in a sumo robot type using the method of potential field with fuzzy systems," da Silva introduced an innovative approach that enables autonomous sumo robots to navigate dynamic settings, simultaneously planning both velocity and direction to reach moving targets while avoiding static obstacles. This contribution demonstrates his expertise in integrating fuzzy systems with classical robotic navigation techniques to enhance real-time decision-making. Although his most-cited paper has garnered 2 citations, da Silva's work represents a meaningful step in the development of adaptive control strategies for competitive robotics and autonomous systems. His research bridges theoretical control methods with practical robotic applications, offering valuable insights for students and researchers interested in intelligent navigation, fuzzy logic control, and the challenges of autonomous motion in unpredictable environments.
Research Focus
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Top Papers
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