Marina Murillo
Papers
1
Total Citations
39
H-Index
1
About
Marina Murillo is a researcher whose work sits at the intersection of robotics, autonomous systems, and vehicle dynamics, with a particular focus on the motion planning and control of complex mechanical systems. Her most notable contribution to date is her 2022 paper, "Improving Path-Tracking Performance of an Articulated Tractor-Trailer System Using a Non-Linear Kinematic Model," which has garnered 39 citations — a strong indicator of early impact in a specialized and technically demanding field. In this work, Murillo addresses one of the persistent challenges in autonomous ground vehicle research: achieving precise path-tracking for articulated vehicles, which are notoriously difficult to control due to their multi-body kinematics and susceptibility to jackknifing and off-tracking errors. By incorporating a non-linear kinematic model, she demonstrated measurable improvements in tracking accuracy over conventional approaches, offering practical insights applicable to agricultural robotics, autonomous logistics, and heavy vehicle automation. Her research reflects a broader commitment to bridging theoretical modeling with real-world performance, making her contributions particularly valuable for engineers and scientists working on next-generation autonomous transportation systems.
Research Focus
Key Achievements
Top Papers
- 1