Alwaleed Abdelrahman
Papers
1
Total Citations
15
H-Index
1
About
Alwaleed Abdelrahman is a researcher advancing the field of autonomous robotics and intelligent navigation systems. His work centers on developing robust path planning and obstacle avoidance algorithms that enable robots to operate safely and efficiently in complex environments. Abdelrahman’s most cited contribution, “ENHANCED HYBRID PATH PLANNING ALGORITHM BASED ON APF AND A-STAR” (2023), with 15 citations, introduces a novel hybrid approach that synergizes the Artificial Potential Field (APF) method with the A* search algorithm. This innovation addresses critical limitations in traditional path planning, such as local minima and computational inefficiency, offering a more reliable solution for real-world applications in air transport, search and rescue, and agriculture. By bridging theoretical algorithm design with practical robotic autonomy, Abdelrahman’s work provides a foundation for safer, more adaptive navigation systems. His research continues to influence the development of intelligent mobile robots, making him a notable contributor to the intersection of control theory and artificial intelligence in robotics.
Research Focus
Key Achievements
Top Papers
- 1ENHANCED HYBRID PATH PLANNING ALGORITHM BASED ON APF AND A-STAR15 citations · 2023