Jefferson Silva
Papers
2
Total Citations
7
H-Index
2
About
Jefferson Silva is a researcher specializing in autonomous mobile robotics, with a primary focus on path planning and navigation algorithms. His work centers on enhancing the efficiency of A* search-based path planning in both static and dynamic environments. Silva’s major contribution lies in the development of novel cost function heuristics designed to optimize the A* algorithm, making it more effective for real-world robotic navigation tasks where the robot must travel between points without human intervention. His most cited paper, "A New Cost Function Heuristic Applied to A* Based Path Planning in Static and Dynamic Environments" (2015), has garnered 5 citations, establishing a foundation for his approach. He further refined these ideas in a subsequent 2016 paper, "A simplified cost function heuristic applied to the A*-based path planning," which earned 2 citations. While his citation counts are modest, Silva’s work addresses a core challenge in robotics—defining efficient sequential state transitions from start to goal—and contributes to the broader field of autonomous navigation. His research is particularly valuable for students and engineers seeking to improve the computational efficiency of path planning in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
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- 2