Mojtaba Ghiasvand
Papers
2
Total Citations
9
H-Index
2
About
Mojtaba Ghiasvand is a robotics and control systems researcher whose work centers on the motion planning and coordination of autonomous mobile robots. His research primarily focuses on formation control of nonholonomic wheeled mobile robots, employing intelligent control strategies to address the complex challenges of multi-robot coordination in dynamic environments. Ghiasvand's most recognized contribution lies in his development of leader-follower formation control frameworks that combine fuzzy logic with system dynamics modeling. His 2013 paper on this subject has garnered 7 citations, demonstrating meaningful engagement from the robotics research community. A key methodological strength of his work is the rigorous derivation of robot dynamics using Lagrange's equations of motion, validated through ADAMS multi-body simulation software — bridging theoretical control design with high-fidelity physical modeling. His follow-up 2017 study further refined these dynamical formation control approaches, reinforcing his commitment to advancing robust, intelligent solutions for coordinated robot behavior. While still building his citation profile, Ghiasvand's integration of fuzzy logic with dynamics-based modeling offers a practical and accessible pathway for researchers working on autonomous multi-robot systems, making his work particularly relevant to those exploring scalable and adaptive formation control strategies.
Research Focus
Key Achievements
Top Papers
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