Kevin Cikel
Papers
1
Total Citations
4
H-Index
1
About
Kevin Cikel is a researcher focused on autonomous robotics, with a particular emphasis on path planning for Autonomous Surface Vehicles (ASVs) operating in dynamic, lake-like environments. His most-cited work, "Development of a Simulator for the Study of Path Planning of An Autonomous Surface Vehicle in Lake Environments" (2019), addresses a critical challenge in robotics: enabling ASVs to navigate collision-free routes while adapting to changing conditions in real time. By designing a dedicated simulator, Cikel provides a foundational tool for studying local path planning—a key component for safe and efficient autonomous navigation in unpredictable waters. Though his citation count is modest, his contribution is significant for researchers developing robust navigation algorithms for marine robotics. Cikel’s work bridges simulation and real-world application, offering a platform to test and refine path-planning strategies before deployment. His research is particularly valuable for advancing ASV autonomy in environmental monitoring, search-and-rescue, and maritime logistics, where dynamic obstacles and shifting currents demand adaptive, reliable navigation.
Research Focus
Key Achievements
Top Papers
- 1