Papers
8
Total Citations
66
H-Index
6
About
Marwan Bikdash is a leading researcher in robotics and intelligent control systems, with a focus on fuzzy logic, artificial potential fields (APF), and evolutionary algorithms for robot navigation and motion planning. His major contributions include pioneering the design of generalized Sugeno controllers by approximating hybrid fuzzy-PID controllers, a technique that simplifies the integration of fuzzy logic with traditional control methods for complex systems like robotic arms. Bikdash also advanced path-planning algorithms through comparative studies of APF methods, addressing challenges such as local minima entrapment, and developed adaptive boundary-following algorithms that enhance robot navigation in cluttered environments. His work on hybrid evolutionary motion planning, incorporating visibility-based repair, offers efficient solutions for global path planning in unstructured spaces. With over 66 citations across his most-cited papers, Bikdash’s research has significantly impacted robotics and control theory, providing practical frameworks for autonomous systems. Notably, his hierarchical learning-based design of hybrid fuzzy-PID controllers and the relationship between APF-based navigation and constrained optimization demonstrate his innovative approach to solving real-world engineering problems, making his work essential reading for students and researchers in robotics and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Hybrid evolutionary motion planning via visibility-based repair8 citations · 2002
- 6Hierarchical Learning-Based Design of a Hybrid Fuzzy Pid Controller6 citations · 1997
- 7
- 8