Amirreza Parvareh
Papers
1
Total Citations
9
H-Index
1
About
Amirreza Parvareh’s research focuses on the intersection of robust adaptive control, multi-agent systems, and autonomous robotics, with a particular emphasis on leader–follower formation control and dynamic obstacle avoidance. His most cited work, “The Robust Adaptive Control of Leader–Follower Formation in Mobile Robots with Dynamic Obstacle Avoidance” (2023, 9 citations), introduces a novel control framework that enables mobile robots to maintain formation without requiring knowledge of the leader’s velocity, even in the presence of disturbances and model uncertainties. This contribution is significant for real-world applications such as search-and-rescue, warehouse automation, and cooperative exploration, where reliable coordination under uncertainty is critical. By combining adaptive control with robust techniques, Parvareh’s approach enhances both stability and safety in dynamic environments. His work demonstrates a clear ability to address practical challenges in robotics, and his growing citation record reflects the relevance of his solutions to the broader control and robotics communities. Parvareh’s research stands out for its methodological rigor and its potential to advance autonomous multi-robot systems in uncertain, obstacle-rich settings.
Research Focus
Key Achievements
Top Papers
- 1