Franco Jorquera
Papers
1
Total Citations
17
H-Index
1
About
Franco Jorquera is a researcher in robotics and autonomous systems, with a primary focus on motion planning and control for articulated vehicles. His most cited work, "Model predictive path-following controller for Generalised N-Trailer vehicles with noisy sensors and disturbances" (2023, 17 citations), addresses a critical challenge in autonomous navigation: ensuring precise path tracking for complex multi-trailer systems under real-world uncertainties. Jorquera's major contribution lies in developing robust model predictive control (MPC) strategies that account for sensor noise and external disturbances, enabling safer and more reliable operation of long combination vehicles in logistics and transportation. His research bridges theoretical control design with practical implementation, offering solutions that enhance stability and accuracy in challenging environments. With 17 citations on his flagship paper, Jorquera's work is gaining traction among researchers in vehicle dynamics and autonomous driving. His achievements include advancing the state-of-the-art in generalised N-trailer control, a niche yet impactful area for freight automation. For students and researchers, Jorquera's work exemplifies how rigorous control theory can be applied to solve real-world robotic mobility problems, making him a rising voice in the field of autonomous vehicle navigation.
Research Focus
Key Achievements
Top Papers
- 1