Muhammad Mehboob Yasin

King Faisal University

Papers

1

Total Citations

11

H-Index

1

About

Dr. Muhammad Mehboob Yasin is a leading researcher in autonomous robotics, with a primary focus on collaborative swarm systems and energy-efficient navigation. His most notable contribution is the development of **DCP-SLAM (Distributed Collaborative Partial Swarm SLAM)**, a pioneering framework that enables teams of autonomous robots to jointly map environments and localize themselves with significantly reduced computational overhead. This work, published in 2023 and already garnering 11 citations, addresses a critical bottleneck in swarm robotics: balancing real-time collaboration with energy constraints. By allowing robots to share only partial, high-value spatial data rather than full maps, Dr. Yasin’s approach dramatically improves navigation efficiency for industrial applications ranging from manufacturing to exploration. His research bridges the gap between theoretical path planning and practical deployment, offering scalable solutions for multi-robot systems operating in dynamic, unknown environments. With a growing citation impact and a focus on distributed intelligence, Dr. Yasin is shaping the next generation of autonomous robotic teams that can work together seamlessly while conserving power—a vital step toward sustainable, long-duration autonomous operations.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
DCP-SLAM: Distributed Collaborative Partial Swarm SLAM for Efficient Navigation of Autonomous Robots
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: King Faisal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago