E. Schreurs
Papers
1
Total Citations
8
H-Index
1
About
E. Schreurs is a researcher in robotics and control systems, with a primary focus on multi-agent coordination and model predictive control (MPC) for mobile robots. Their most-cited work, "A Practical Model Predictive Control for A Group of Unicycle Mobile Robots" (2012), addresses the challenge of real-time trajectory tracking and collision avoidance in multi-robot systems. By developing a computationally efficient MPC framework tailored for unicycle-type robots, Schreurs contributed a scalable solution that balances performance with practical implementation constraints—a key step toward deploying autonomous robot teams in dynamic environments. While their citation count (8 for this paper) reflects a niche but foundational contribution, the work has informed subsequent studies in distributed control and cooperative robotics. Schreurs’ research bridges theoretical control methods and real-world applications, emphasizing robustness and computational feasibility. Their efforts underscore the importance of designing algorithms that can operate under limited onboard resources, a critical consideration for field robotics. For students and researchers exploring decentralized control or MPC for mobile robots, Schreurs’ work offers a pragmatic entry point into the complexities of multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1