Papers
2
Total Citations
38
H-Index
2
About
Gabriel Guerra is a robotics researcher whose work centers on the control and coordination of mobile robotic systems, with a particular emphasis on non-holonomic platforms and multi-robot architectures. His most impactful contribution lies in advancing trajectory tracking for mobile robots through a rigorous comparison of Sliding Mode Control (SMC) approaches. His 2024 paper on this topic, which has already garnered 29 citations, systematically evaluates standard SMC alongside dynamic and dual variations, providing a clear benchmark for robust motion control in the presence of uncertainties. Beyond control theory, Guerra has made notable strides in educational robotics and Cyber-Physical Systems (CPS). His 2020 work, cited 9 times, details the development of an open-source, omnidirectional multi-robot platform designed for scalable and replicable CPS education. This platform enables students and researchers to experiment with distributed coordination in a tangible, low-cost environment. By bridging theoretical control methods with practical, accessible hardware, Guerra’s research offers a valuable toolkit for both advancing autonomous navigation and democratizing robotics education.
Research Focus
Key Achievements
Top Papers
- 1
- 2