Papers

5

Total Citations

40

H-Index

4

About

Ghulam Mubashar Hassan is a leading researcher in robotics and control systems, with a primary focus on the coordination and navigation of autonomous mobile robots. His work addresses fundamental challenges in multi-robot systems, particularly through innovative control strategies for nonholonomic robots. Hassan’s most significant contribution is the development of a leader-follower approach using full-state linearization via dynamic feedback, a method that offers distinct advantages over traditional input-output linearization by eliminating the need for relative point selection and enabling straightforward extension to n-robot formations. This seminal work, published in 2006, has garnered 17 citations and remains a cornerstone in collaborative robotics. He has also advanced practical robotics with a memory-efficient Hough transform for systems with limited fast memory (9 citations) and a hybrid vision-based self-localization algorithm for tiny autonomous robots in dynamic environments (5 citations). His feedback linearized strategies for collaborative robots (7 citations) further demonstrate his expertise in stabilizing complex systems. Hassan’s research bridges theoretical control theory and real-world robotic applications, making him a key figure in the development of intelligent, cooperative autonomous systems.

Research Focus

Key Achievements

4
H-Index
5
Papers
40
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Leader-Follower Approach using Full-State Linearization via Dynamic Feedback
17 citations · 2006
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Oklahoma State University, University of Engineering and Technology Peshawar

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago