Mst Ishrat Jahan

Universiti Malaysia Pahang Al-Sultan Abdullah

Papers

Total Citations

H-Index

About

Mst Ishrat Jahan is a researcher at the forefront of autonomous systems and robotics, with a particular focus on dynamic environment mapping and navigation. Her most-cited work, "Stochastic Mapping Analysis for Automated Guided Vehicles in ROS" (2025), addresses a critical challenge in modern autonomous navigation—how vehicles can reliably map and operate in changing, unpredictable surroundings. By investigating the behavior of Automated Guided Vehicles (AGVs) under dynamic conditions, Jahan provides foundational insights into stochastic mapping techniques that enhance real-time adaptability. Though early in her citation trajectory, this work signals a promising contribution to the ROS (Robot Operating System) ecosystem, a key platform for robotics research. Jahan’s research bridges theoretical mapping algorithms and practical deployment, offering valuable frameworks for engineers and researchers working on autonomous logistics, warehouse automation, and mobile robotics. Her focus on dynamic mapping positions her as an emerging voice in the effort to make autonomous systems more robust in real-world environments—a pursuit with significant implications for industry and academia alike.