Mohammed Shamsul Alam
Papers
1
Total Citations
3
H-Index
1
About
Mohammed Shamsul Alam is a researcher whose work lies at the intersection of robotics, computer vision, and intelligent systems. His key research areas include autonomous navigation, obstacle detection, and the development of reliable perception systems for service robots. Alam’s most notable contribution is his pioneering work on high-performance obstacle detection and height measurement using stereo cameras, designed specifically for intelligent home service robots. In his 2007 paper, he proposed a novel method that employs an active stereo camera and a resilient back-propagation algorithm to intelligently track obstacles and identify ground surfaces, enabling robots to navigate complex indoor environments safely. This work, while accumulating 3 citations, laid important groundwork for real-time, reliable robotic perception. Alam’s research is characterized by its practical focus on enhancing robot autonomy and safety, with applications in domestic assistance and human-robot interaction. His contributions reflect a commitment to bridging algorithmic innovation with real-world robotic functionality, making his work a valuable reference for students and researchers exploring vision-based navigation and intelligent home robotics.
Research Focus
Key Achievements
Top Papers
- 1