Abdulkader Joukhadar
University of Aleppo, Moscow Institute of Physics and Technology
Papers
10
Total Citations
73
H-Index
5
About
Abdulkader Joukhadar is a robotics researcher whose work focuses on intelligent control systems, autonomous navigation, and multi-agent coordination for mobile robots and manipulators. His major contributions include pioneering the use of the Bees Algorithm for real-time path planning of wheeled mobile robots in dynamic indoor environments, achieving 30 citations for this work. He has also developed adaptive LQ-based computed-torque controllers for robotic manipulators, enhancing motion control under unknown dynamic parameters, and designed a novel control-navigation system integrating adaptive optimal control with EKF localization for differential drive robots. His research extends to multi-agent systems with intelligent collision avoidance, as well as UKF-based SLAM and 3D reconstruction for improved localization and mapping. Notably, he led the design and implementation of a low-cost autonomous car driving system with collision avoidance, demonstrating practical applications of his work. With over 70 total citations across his publications, Joukhadar’s contributions advance the fields of mobile robotics, adaptive control, and autonomous systems, offering valuable insights for students and researchers in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Adaptive LQ-Based Computed-Torque Controller for Robotic Manipulator10 citations · 2019
- 3
- 4UKF-Based Image Filtering and 3D Reconstruction6 citations · 2019
- 5
- 6
- 7Intelligent Collision Avoidance for Multi Agent Mobile Robots3 citations · 2014
- 8UKF-Assisted SLAM for 4WDDMR Localization and Mapping3 citations · 2018
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- 10