Syed Muhammad Zaigham Abbas Shah
Papers
1
Total Citations
18
H-Index
1
About
Syed Muhammad Zaigham Abbas Shah is a researcher whose work sits at the intersection of robotics, autonomous systems, and intelligent control. His most-cited paper, "Real time implementation of path planning algorithm with obstacle avoidance for autonomous vehicle" (2016, 18 citations), addresses a core challenge in autonomous robot design: determining a collision-free, optimal path between start and end positions in obstacle-laden environments. By presenting a prototype autonomous mobile robot that implements real-time path planning, Shah’s contribution lies in bridging theoretical algorithms with practical, hardware-based solutions—a critical step toward deploying autonomous vehicles in dynamic, real-world settings. His research emphasizes obstacle avoidance, trajectory optimization, and real-time decision-making, areas vital for applications ranging from warehouse logistics to self-driving cars. While his citation count reflects a focused, early-stage impact, Shah’s work demonstrates a commitment to solving tangible engineering problems, making him a notable figure in the growing field of autonomous navigation. For students and researchers, his approach offers a clear example of how to translate complex path-planning theory into working prototypes that can navigate safely and efficiently.
Research Focus
Key Achievements
Top Papers
- 1