Mohammad Jafari
University of Nevada, Reno, Columbus State University, Shiraz University
Papers
6
Total Citations
143
H-Index
5
About
Mohammad Jafari is a leading researcher in multi-agent robotics and intelligent control systems, with a focus on formation control, obstacle avoidance, and autonomous vehicle navigation. His seminal 2016 work on formation control of rectangular agents with limited communication ranges has garnered 94 citations, establishing a foundational approach for coordinating multiple robots in constrained environments. Jafari further advanced the field by integrating UAVs with unmanned ground vehicles for adaptive flocking control, demonstrating innovative cross-domain coordination. More recently, he has applied machine learning to autonomous vehicle control for solar panel cleaning in agricultural settings (2024, 15 citations), addressing real-world challenges in renewable energy maintenance. His contributions extend to robust tracking control of uncertain dynamical systems through simple learning-based strategies (2023, 9 citations), and he has also worked on humanoid robot kinematics and rehabilitation robotics, including a novel 4-DOF upper-limb rehabilitation robot design. With a career spanning foundational theory to practical applications, Jafari’s work bridges control theory, machine learning, and robotics, impacting both academic research and industrial automation.
Research Focus
Key Achievements
Top Papers
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- 5Kinematic analysis of Darwin's humanoid robot6 citations · 2016
- 6