Erfan Nejabat
Papers
1
Total Citations
5
H-Index
1
About
Erfan Nejabat is an emerging researcher in robotics and control systems, with a focus on multi-robot coordination and advanced model predictive control (MPC). His most-cited work, "Cascade explicit tube model predictive controller: application for a multi-robot system" (2025), introduces a novel cascade explicit tube MPC framework that enhances robustness and computational efficiency in decentralized multi-robot systems. This contribution addresses critical challenges in real-time trajectory tracking and collision avoidance, offering a scalable solution for dynamic environments. With 5 citations already, his work is gaining traction among control theorists and roboticists. Nejabat’s research bridges theoretical control design and practical deployment, making him a promising voice in the field of autonomous systems. His achievements underscore a commitment to developing reliable, real-time algorithms for complex multi-agent tasks.
Research Focus
Key Achievements
Top Papers
- 1