Christ Freben Dommaris Saragih
Papers
1
Total Citations
8
H-Index
1
About
Christ Freben Dommaris Saragih is a researcher specializing in robotics and control systems, with a particular focus on visual servoing and model predictive control (MPC). His most notable work, "Visual Servo Application Using Model Predictive Control (MPC) Method on Pan-tilt Camera Platform" (2019), has garnered 8 citations and addresses the challenge of using visual feedback to precisely control robotic motion. By integrating image processing algorithms with MPC, Saragih demonstrates how a camera can function as an effective visual sensor, providing real-time measurement data—such as center point coordinates—to guide robotic platforms. This contribution is significant for advancing autonomous systems, particularly in applications requiring accurate, vision-based control. His research bridges the gap between theoretical control methods and practical implementation, offering valuable insights for students and engineers working on robotics, automation, and computer vision. Saragih’s work underscores the potential of MPC in enhancing the responsiveness and accuracy of visual servo systems, making it a key reference for those exploring intelligent robotic control.
Research Focus
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Top Papers
- 1