Tarek A. Tutunji
Papers
7
Total Citations
81
H-Index
4
About
Tarek A. Tutunji is a leading researcher in robotics and control systems, with a focus on solving complex problems in robotic manipulation, motion control, and autonomous navigation. His major contributions include the development of a particle swarm optimization (PSO)-based algorithm for inverse kinematics of robotic arm manipulators, which addresses the computationally intensive analytical solutions for 6-DOF robots like the KUKA KR 6 R900. This work, his most cited with 33 citations, has advanced efficient robotic control. He has also pioneered interfacing computing platforms for dynamic control and identification of industrial robots, notably the KUKA Agilus, facilitating their use in research and education. His work on fuzzy control for two-wheel balancing robots and MATLAB Toolbox implementations for motion control has further solidified his impact, with over 80 total citations across his top papers. Additionally, Tutunji has explored deep reinforcement learning and SLAM algorithms for omni-directional robots, showcasing his versatility in modern robotics. His achievements include practical tools for industrial and educational settings, making him a key figure in bridging theoretical optimization with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Fuzzy control of a two-wheel balancing robot using DSPIC16 citations · 2010
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- 6SLAM Algorithm for Omni-Directional Robots based on ANN and EKF2 citations · 2023
- 7