Sikandar Hayat
Papers
1
Total Citations
18
H-Index
1
About
Sikandar Hayat is a robotics researcher whose work focuses on intelligent path planning and optimization for autonomous mobile systems. His key research areas include mobile robot navigation, obstacle avoidance, and heuristic optimization algorithms. Hayat’s major contribution lies in applying simulated annealing—a metaheuristic inspired by the annealing process in metallurgy—to solve the complex problem of path planning for robots navigating environments with circular-shaped obstacles. His 2015 paper on this topic, which has garnered 18 citations, demonstrates how simulated annealing’s ability to escape local optima and its straightforward implementation make it a powerful alternative to traditional path planning methods. This work has been influential in advancing efficient, collision-free navigation strategies for mobile robots in cluttered settings. Hayat’s research is particularly valuable for students and engineers seeking practical, robust solutions in autonomous robotics, and his contributions continue to inform the development of smarter, more adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1