Heru Suwoyo
Papers
17
Total Citations
131
H-Index
8
About
Heru Suwoyo is a robotics and control systems researcher whose work sits at the intersection of autonomous mobile robotics, intelligent control, and state estimation. Best known for his sustained investigation into wall-following robot systems, Suwoyo has systematically advanced the field by replacing manual PID tuning with nature-inspired optimization techniques — including Genetic Algorithms, Particle Swarm Optimization, Bat Algorithms, and Fuzzy Logic Controllers — demonstrating measurable improvements in robot navigation accuracy and stability. His PID-Genetic Algorithm study alone has garnered 20 citations, reflecting strong community uptake of his optimization-driven approach. Beyond robot control, Suwoyo has made notable contributions to the Simultaneous Localization and Mapping (SLAM) problem, developing adaptive filtering algorithms such as the AEKF-SLAM and ASVSF-SLAM frameworks that incorporate Maximum Likelihood Estimation and Expectation-Maximization to handle real-world noise uncertainty — work that has attracted over 35 combined citations. His more recent research on integrated RRT*SMART-A* path planning demonstrates a broadening scope toward global navigation in complex environments. Collectively, Suwoyo's portfolio reflects a rigorous, iterative research philosophy, making his publications valuable reading for students working in autonomous systems, mobile robotics, and probabilistic estimation.
Research Focus
Key Achievements
Top Papers
- 1
- 2An AEKF-SLAM Algorithm with Recursive Noise Statistic Based on MLE and EM17 citations · 2019
- 3IMPROVING THE WALL-FOLLOWING ROBOT PERFORMANCE USING PID-PSO CONTROLLER15 citations · 2019
- 4
- 5ENHANCING THE PERFORMANCE OF THE WALL-FOLLOWING ROBOT BASED ON FLC-GA10 citations · 2020
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