Mendili Manel

Tunis University, National Engineering School of Tunis

Papers

Total Citations

H-Index

About

Dr. Manel Mendili is a robotics researcher specializing in the control and trajectory tracking of mobile robots, with a particular focus on omnidirectional and two-wheeled platforms. Her major contributions lie in the application of Model Predictive Control (MPC) to enhance robot autonomy and precision. She has pioneered the development of predictive controllers that leverage both kinematic and dynamic models, enabling more accurate and stable motion in complex environments. Her most cited work, "Predictive Control of Mobile Robot Using Kinematic and Dynamic Models" (2017, 12 citations), establishes a foundational framework for optimizing robot movement by comparing two distinct control strategies. This research is complemented by her studies on trajectory tracking for two-wheeled robots (2015, 4 citations) and dynamic modeling for omnidirectional systems (2017, 3 citations), which together demonstrate a systematic approach to solving real-world navigation challenges. Dr. Mendili’s work is particularly notable for bridging theoretical control theory with practical robotic applications, offering valuable insights for students and researchers in autonomous systems and mechatronics. Her contributions continue to influence the development of more responsive and intelligent mobile robots.