Wahid Md Ferdous
Papers
1
Total Citations
6
H-Index
1
About
Wahid Md Ferdous is a robotics researcher whose work focuses on intelligent multi-agent systems, path planning, and real-time obstacle avoidance. His most-cited paper, "A proposal on development of intelligent PSO based path planning and image based obstacle avoidance for real multi agents robotics system application" (2010, 6 citations), introduces a novel approach that combines Particle Swarm Optimization (PSO) for path planning with on-board camera-based obstacle detection. This system enables robust, low-cost centralized control for multi-agent robotics applications, addressing key challenges in autonomous navigation and coordination. Ferdous’s contribution lies in integrating odometry data with visual feedback to create a practical, real-time solution for dynamic environments. While his citation count is modest, his work represents an early effort to merge swarm intelligence with computer vision for multi-robot systems, laying groundwork for scalable and efficient robotic teams. His research is particularly relevant for students and engineers exploring affordable, intelligent automation in fields like warehouse logistics, search-and-rescue, or collaborative manufacturing. Ferdous’s approach highlights the potential of combining bio-inspired algorithms with sensor-based control to advance real-world multi-agent robotics.
Research Focus
Key Achievements
Top Papers
- 1