Juliana Sumanti
Papers
1
Total Citations
2
H-Index
1
About
Juliana Sumanti is a researcher specializing in control systems and robotics, with a particular focus on optimal control strategies for unstable dynamical systems. Her most cited work, "Kontrol Optimal pada Balancing Robot Menggunakan Metode Linear Quadratic Regulator" (2014), addresses the challenge of stabilizing a two-wheeled balancing robot—a system modeled on the classic inverted pendulum. In this paper, she applies the Linear Quadratic Regulator (LQR) method to design a controller that keeps the robot upright, demonstrating how optimal control theory can be effectively implemented in real-time robotic applications. While her citation count is modest, this work contributes to the foundational literature on balancing robots, a key area in mobile robotics and autonomous systems. Sumanti’s research bridges theoretical control engineering with practical robotic design, offering insights into the application of LQR for nonlinear, inherently unstable platforms. Her work is particularly relevant for students and researchers exploring optimal control, mechatronics, and the development of self-balancing vehicles, providing a clear example of how classical control methods can solve modern engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1