Muhammad Shahin Uddin

Mawlana Bhashani Science and Technology University

Papers

Total Citations

H-Index

About

Muhammad Shahin Uddin is a researcher focused on robotics, automation, and intelligent control systems, with particular expertise in mobile robot navigation and indoor positioning technologies. His most-cited work, "Path mapping and control of mobile cleaning robot using LED-ID network" (2011), addresses a critical challenge in autonomous robotics: enabling a cleaning robot to efficiently map its environment and follow a desired path while avoiding obstacles in complex indoor settings. By integrating LED-ID networks for localization and control, Uddin proposed an innovative solution that reduces collision risks and improves cleaning efficiency, laying groundwork for practical service robotics applications. While his citation count is modest, this work demonstrates early engagement with emerging technologies that combine wireless communication and robotics. Uddin’s contributions highlight the importance of robust path planning and sensor integration in autonomous systems, offering valuable insights for students and researchers exploring the intersection of robotics, indoor navigation, and smart environments. His research continues to inform developments in automated cleaning systems and intelligent control.