Seyyed Mohammad Hosseini Rostami

Shiraz University of Technology

Papers

4

Total Citations

289

H-Index

3

About

Seyyed Mohammad Hosseini Rostami is a robotics researcher whose work focuses on intelligent navigation, obstacle avoidance, and optimal control for mobile and articulated robots. His most influential contribution is the development of a modified artificial potential field algorithm for obstacle avoidance in mobile robots, a paper that has garnered 244 citations and addresses the critical challenge of safe, real-time navigation in dynamic environments. He has also advanced the application of the state-dependent Riccati equation (SDRE) approach for optimal control, demonstrating its effectiveness in both mobile robot obstacle avoidance and tracking control for two-link robotic arms—works cited 28 and 15 times, respectively. These contributions highlight his expertise in merging control theory with practical robotics, offering robust solutions for autonomous systems. His research is particularly valuable for students and engineers working on autonomous vehicles, industrial manipulators, and service robots, as it provides computationally efficient methods for real-time decision-making. With a growing citation record and a focus on solving fundamental problems in robot motion planning, Rostami continues to influence the field of intelligent robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
289
Total Citations
72
Avg Citations/Paper
🏆 Most Cited Paper
Obstacle avoidance of mobile robots using modified artificial potential field algorithm
244 citations · 2019
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Shiraz University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago