Siti Sendari
Papers
15
Total Citations
80
H-Index
7
About
Siti Sendari is an accomplished robotics and intelligent systems researcher whose work spans evolutionary computation, mobile robot navigation, computer vision, and robot kinematics. Best known for her contributions to Genetic Network Programming (GNP) integrated with reinforcement learning, she has pioneered the incorporation of fuzzy logic into GNP-RL frameworks, enabling more flexible and adaptive decision-making for mobile robots navigating complex environments — work that has garnered consistent citation across the research community. Her 2011 papers on Fuzzy GNP-RL with reinforcement learning and noise handling demonstrate her sustained commitment to robust, real-world robot control. Beyond evolutionary algorithms, Sendari has made notable contributions to practical robotics applications, including multi-object tracking using omnidirectional cameras for trash-picking robots, embedded color vision systems for soccer-playing Bioloid robots, and PD control for six-legged wall-follower robots. Her work on inverse kinematics — using neural networks and Arduino-based implementations — reflects her broad expertise across both theoretical and applied domains. Particularly noteworthy is her development of an animaloid six-legged robot designed as a pedagogical tool for robotics education. With citations spanning from 2010 to 2023, Sendari's research has had enduring influence, making her a significant contributor to intelligent mobile robotics and robotics engineering education.
Research Focus
Key Achievements
Top Papers
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- 3Integrating embedded color vision to Bioloid robot for playing soccer8 citations · 2017
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- 5Six-Legged Animaloid Robot as a Trainer for Robotic Course7 citations · 2015
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