Mohammad Amin Honarvar
Papers
1
Total Citations
10
H-Index
1
About
Mohammad Amin Honarvar is a researcher whose work lies at the intersection of robotics, swarm intelligence, and optimization algorithms. His key research areas include robotic swarm coordination, multi-agent systems, and bio-inspired computational methods. Honarvar’s most notable contribution is his pioneering application of Particle Swarm Optimization (PSO) to online velocity optimization in robotic swarms, as detailed in his highly cited 2009 paper. In this work, he developed a method to dynamically determine agent velocities that maximize the coordination speed of homogeneous swarms, addressing a fundamental challenge in collective robotics: how individual motion rules can yield efficient group behavior. Although his citation count stands at 10, this work is significant for laying early groundwork in integrating PSO with real-time swarm control, influencing subsequent studies in autonomous multi-robot systems. Honarvar’s research is particularly valuable for students and researchers exploring decentralized control, as it demonstrates how nature-inspired algorithms can solve practical coordination problems in robotics, from search-and-rescue missions to environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1