Enza Incoronata Trombetta
Papers
3
Total Citations
11
H-Index
2
About
Enza Incoronata Trombetta is a researcher focused on advancing autonomous navigation and control for ground robots, with a particular emphasis on precision agriculture. Her work addresses critical challenges in agricultural robotics, such as unreliable GPS signals in rural environments, by developing innovative Guidance, Navigation and Control (GNC) systems. Trombetta’s most cited paper proposes an adaptive sliding mode controller integrated with artificial potential fields, enabling robust and collision-free navigation for unmanned ground vehicles (UGVs) in GPS-denied agricultural settings. She has also made significant contributions to system identification and simulation modeling, employing Gaussian process regression (GPR) models to improve the accuracy of robot dynamics for control system design. Her comparative analysis of GPR and wavelet-based nonlinear autoregressive models provides valuable insights for developing reliable simulation environments. With her research accumulating over 11 citations across key publications, Trombetta is establishing herself as a promising voice in agricultural robotics. Her work directly supports the development of autonomous systems that can operate reliably in challenging, real-world environments, making her research highly relevant for students and engineers working at the intersection of robotics, control theory, and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
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