Charles Remeikas
Papers
2
Total Citations
31
H-Index
2
About
Charles Remeikas is a leading researcher in cooperative robotics and autonomous systems, with a focus on trajectory planning for multi-agent networks. His work addresses fundamental challenges in coordinating groups of robots operating in complex, constrained environments, particularly in agricultural and security applications. Remeikas is best known for developing computationally efficient algorithms that enable rapid task assignment and trajectory generation for cooperative agricultural robots, as demonstrated in his most-cited paper (25 citations), which tackles labor-intensive field operations like harvesting and disease scouting. He has also advanced the field with a local pursuit strategy-inspired approach for nonlinear constrained dynamical systems (6 citations), offering a practical solution for networked vehicles in cluttered settings such as air traffic and border monitoring. His contributions bridge theoretical control and practical deployment, emphasizing real-time responsiveness and scalability. Remeikas’s work has been instrumental in pushing toward autonomous farming and resilient multi-robot coordination, making him a notable figure in the intersection of robotics, optimization, and applied dynamical systems.
Research Focus
Key Achievements
Top Papers
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