Rouhollah Ahmadi
Papers
2
Total Citations
20
H-Index
2
About
Dr. Rouhollah Ahmadi is a robotics engineer whose work bridges the gap between theoretical control systems and practical autonomous flight. His primary research focuses on optimal trajectory generation for flying robots, with a particular emphasis on terrain following and obstacle avoidance. Ahmadi’s most significant contribution, detailed in his highly cited 2014 paper, introduces a neural network-based approach for generating optimal, online trajectories that allow aerial vehicles to navigate complex, low-altitude environments safely. By modeling terrain as a dynamic constraint and leveraging inverse dynamics, his method enables real-time path planning that is both computationally efficient and robust—a critical advancement for applications in surveillance, agriculture, and search-and-rescue. Beyond aerial systems, Ahmadi has demonstrated his breadth in robotics through the design, modeling, and experimental analysis of a complete 6R industrial robot arm. This hands-on work, from conceptual design to manufacturing and sensor integration, showcases his ability to move from theoretical frameworks to tangible hardware implementation. With a career defined by solving real-world navigation challenges, Ahmadi’s research continues to influence the development of more intelligent and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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