Agus Suandi
Papers
1
Total Citations
2
H-Index
1
About
Agus Suandi is a researcher in robotics and control systems, with a particular focus on intelligent navigation and mobile robot autonomy. His work centers on the development of hybrid control algorithms that combine classical and soft computing methods to improve robot performance in dynamic environments. In his most cited paper, "SISTEM KENDALI FUZZY-PID PADA ROBOT WALL FOLLOWER ACKERMAN STEERING" (2017), Suandi proposes an innovative integration of Fuzzy and PID controllers for wall-following tasks in Ackerman-steering mobile robots. The PID controller handles smooth input variations, while the fuzzy controller activates during abrupt changes, ensuring robust and adaptive behavior. Although his citation count is currently modest, this work demonstrates a practical approach to merging traditional control theory with intelligent systems—an area of growing importance in autonomous vehicle and service robot development. Suandi’s research contributes to the broader goal of creating more reliable and responsive robotic systems, and his work serves as a valuable reference for students and engineers exploring hybrid control strategies in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1SISTEM KENDALI FUZZY-PID PADA ROBOT WALL FOLLOWER ACKERMAN STEERING2 citations · 2017