Zahra Elmi
Papers
2
Total Citations
55
H-Index
2
About
Zahra Elmi is a leading researcher in robotics and computational intelligence, whose work has fundamentally advanced the field of autonomous navigation. Her primary research focuses on developing novel, bio-inspired algorithms for robot path planning, particularly in complex and unpredictable environments. Elmi’s major contribution lies in her pioneering application of the Grasshopper Optimization Algorithm (GOA) to robotics. Her seminal 2018 paper, "Multi-objective grasshopper optimization algorithm for robot path planning in static environments" (31 citations), established a new benchmark for solving multi-dimensional optimization problems in static settings, demonstrating how heuristic methods can efficiently find the most appropriate paths. She then extended this breakthrough to dynamic and unknown terrains in her 2020 work, "Online path planning of mobile robot using grasshopper algorithm in a dynamic and unknown environment" (24 citations), overcoming the major drawbacks of conventional methods that fail in real-time scenarios. By integrating swarm intelligence with multi-objective optimization, Elmi has created robust frameworks that enable mobile robots to navigate and avoid obstacles autonomously. Her work is highly influential, providing a critical foundation for the next generation of intelligent, adaptive robotic systems used in search-and-rescue, exploration, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2