Mohammad Hosseinzadeh Yamchi
Sahand University of Technology, Amirkabir University of Technology
Papers
5
Total Citations
90
H-Index
4
About
Mohammad Hosseinzadeh Yamchi is a robotics and control systems researcher whose work centers on multi-robot coordination, networked systems, and advanced control strategies. His most significant contributions lie in the domain of formation control for networked mobile robots, where he has developed innovative methods for maintaining coordinated group behavior under real-world challenges such as communication delays, obstacles, and inter-robot collision risks. His most cited work, "Distributed Predictive Formation Control of Networked Mobile Robots Subject to Communication Delay" (2017, 60 citations), demonstrates his expertise in model predictive control applied to distributed robotic systems — a technically demanding problem with broad practical implications for autonomous vehicle fleets and swarm robotics. Complementing this, his 2016 paper on formation control with guaranteed obstacle and collision avoidance further showcases his ability to translate theoretical guarantees into implementable control frameworks. Beyond mobile robots, Yamchi has extended his research to robotic manipulators, addressing robust synchronization through distributed H∞ control strategies, and explored iterative learning control for quadruped locomotion. His body of work reflects a consistent focus on bridging rigorous control theory with practical multi-agent robotic applications, making meaningful contributions to the growing field of intelligent, connected autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Modeling and Robust Iterative Learning Control of a Quadruped Robot5 citations · 2011
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