Umut Tilki
Papers
3
Total Citations
10
H-Index
2
About
Umut Tilki is an emerging researcher specializing in robotics control systems, with a particular focus on fault-tolerant control, sliding mode control, and intelligent control methodologies for mobile robots and robotic manipulators. His work addresses one of the most pressing challenges in robotics: ensuring system stability and reliable performance in the presence of real-world faults, sensor errors, and dynamic uncertainties. Tilki's most significant contributions center on developing adaptive sliding mode-based fault tolerant controllers for wheeled mobile robots, enabling these systems to detect, identify, and compensate for faults during trajectory tracking — a critical capability for autonomous robot deployment in unpredictable environments. His 2023 paper on this topic has already garnered notable attention with 4 citations. Beyond mobile robotics, Tilki has also pioneered innovative hybrid control approaches for robotic manipulators, combining genetic algorithms with neural network-based sliding mode controllers to handle unknown system parameters and external disturbances, demonstrating both creativity and technical depth in his methodology. With a growing citation record across multiple publications since 2020, Tilki represents a promising voice in intelligent and resilient robotics control, with research particularly relevant to students and engineers working on autonomous systems, rehabilitation robotics, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
Key Collaborators
Related papers
- Adaptive sliding mode based fault tolerant control of wheeled mobile robots
- Terminal and Backstepping Sliding Mode Control with Genetic Algorithms for Robot Manipulators
- Fault Tolerant Control of Wheeled Mobile Robots Using Adaptive Sliding Mode Controller
- Design Of Adaptive Sliding Mode Controller For Robotic Manipulators Tracking Control
- Adaptive terminal sliding mode control of a non-holonomic wheeled mobile robot
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