Luis Chuquimarca

Universidad Estatal Península de Santa Elena

Papers

Total Citations

H-Index

About

Luis Chuquimarca is a researcher specializing in robotics and autonomous systems, with a particular focus on localization, trajectory estimation, and sensor fusion. His most cited work, "Kalman Filter Applied to a Differential Robot" (2023), addresses the critical challenge of enabling autonomous mobile robots to accurately determine their position and follow planned paths. In this study, Chuquimarca applies the Kalman filter—a powerful algorithm for estimating unknown variables from noisy measurements—to enhance the localization and trajectory tracking of a differential-drive robot. By conducting experimental tests, he demonstrates how this approach improves the robot's ability to navigate in real-world environments. Although his citation count is currently modest, this foundational work contributes to the broader field of mobile robotics, particularly in areas like autonomous navigation and control systems. Chuquimarca's research holds potential for applications in industrial automation, service robotics, and intelligent transportation systems, making his contributions valuable for students and researchers exploring sensor integration and state estimation in robotics.