E.P. Ferreira
Papers
3
Total Citations
18
H-Index
3
About
E.P. Ferreira is a pioneering researcher in the field of multi-articulated mobile robotics, specializing in the complex challenge of backward movement control. His work focuses on developing novel neural network-based predictors and controllers to solve the inherent instability of reversing multi-trailer systems, which are prone to jack-knifing. Ferreira’s major contributions include the creation of full neural predictors with fixed time horizons, using static multilayer feedforward networks to model and control these articulated robots in configuration space. His 2011 paper on applying these predictors to a Truck-Trailer-Trailer prototype, addressing singular conditions and critical angles, is his most cited work (9 citations). He also developed new tools for static neural networks as both predictors and controllers, and earlier explored analytical and fuzzy approaches to model multi-articulated vehicle movements. While his citation counts are modest, Ferreira’s work represents a dedicated, practical effort to solve a notoriously difficult robotics problem—reversing multiple trailers—with direct applications to autonomous vehicle control and industrial logistics.
Research Focus
Key Achievements
Top Papers
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