Jeremy Christian B. Reccion
Papers
1
Total Citations
6
H-Index
1
About
Jeremy Christian B. Reccion is a robotics researcher whose work centers on autonomous aerial systems, computer vision, and intelligent control. His most-cited paper, "Development of a Quadrotor with Vision-based Target Detection for Autonomous Landing" (2018), addresses a critical challenge in unmanned aerial vehicle (UAV) autonomy: enabling quadrotors to detect and land on designated targets without human intervention. This contribution advances the practical deployment of drones in applications such as surveillance, delivery, and search-and-rescue, where precise, self-directed landing is essential. With 6 citations, this work has provided a foundation for subsequent studies in vision-guided UAV navigation. Reccion’s research bridges the gap between theoretical robotics and real-world implementation, emphasizing robust perception and control algorithms. His achievements reflect a dedication to expanding the capabilities of autonomous systems, particularly in dynamic environments. For students and researchers exploring UAV autonomy or computer vision, Reccion’s work offers a clear example of how integrating sensing and control can solve complex, high-stakes problems in robotics.
Research Focus
Key Achievements
Top Papers
- 1