Mohamed Tounsi
Papers
4
Total Citations
125
H-Index
4
About
Mohamed Tounsi is a leading researcher in robotics and control systems, with key contributions in robot path planning, adaptive control, and fault-tolerant systems. His work spans two core areas: global path planning for autonomous robots and advanced sliding mode control for robotic manipulators. His most cited paper (2014, 38 citations) explores the adequacy of tabu search for solving global path planning in grid environments, proposing a novel planner algorithm that demonstrates the power of metaheuristic optimization in robotics. Tounsi has also made significant strides in adaptive control, introducing fractional-order fixed-time sliding mode control (2022, 37 citations) and adaptive fault-tolerant non-singular sliding mode control (2022, 27 citations) for robotic manipulators under uncertainties and actuator faults. These contributions enhance the robustness and precision of robotic systems in real-world applications. Additionally, his work on COROS (2015, 23 citations), a multi-agent software architecture for cooperative service robots, showcases his expertise in distributed robotics. With over 125 citations across his top papers, Tounsi’s research is highly influential, offering practical solutions for autonomous navigation and resilient control in complex environments.
Research Focus
Key Achievements
Top Papers
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