Oktay Arslan
Papers
1
Total Citations
4
H-Index
1
About
Oktay Arslan is a researcher whose work lies at the intersection of robotics and control theory, with a primary focus on motion planning algorithms. His most-cited paper, "The Role of Vertex Consistency in Sampling-based Algorithms for Optimal Motion Planning" (2012, 4 citations), explores the critical role of vertex consistency in enhancing the performance of incremental sampling-based methods like Rapidly-exploring Random Trees (RRTs). This contribution addresses a fundamental challenge in robotics: ensuring that sampling-based planners not only find feasible paths but also converge toward optimal solutions efficiently. By analyzing how vertex consistency impacts algorithm behavior, Arslan provides insights that help bridge the gap between theoretical guarantees and practical implementation in complex environments. While his citation count reflects a focused, early-career impact, his work is significant for researchers seeking to improve the reliability and optimality of motion planning in autonomous systems. Arslan’s research is particularly valuable for students and engineers working on real-time robotic navigation, where balancing exploration and exploitation remains a key hurdle.
Research Focus
Key Achievements
Top Papers
- 1