Papers
21
Total Citations
338
H-Index
10
About
W. S. Mada Sanjaya is an Indonesian researcher whose work spans two vibrant and interconnected domains: nonlinear dynamical systems and intelligent robotics. His most celebrated contribution is the discovery of a novel three-dimensional chaotic system featuring a hidden attractor — a system with no critical points and only two quadratic nonlinearities — which has garnered 93 citations and demonstrated practical applications in wireless mobile robot navigation and secure communications. Complementing this theoretical work, his 2016 paper on a jerk chaotic system further established his credentials in chaos-based engineering applications. Sanjaya has made equally significant strides in human-robot interaction, pioneering speech recognition frameworks for robotic arm control using MFCC combined with SVM, ANFIS, and KNN classifiers, collectively accumulating over 85 citations. His development of the SyPEHUL social robot, capable of real-time face recognition and tracking, reflects his commitment to bridging machine learning with physical robotic systems. He has also applied adaptive neuro-fuzzy inference systems to colored object detection and sorting tasks, broadening automation capabilities in industrial contexts. A particularly distinctive contribution is his GPS-integrated Qibla Finder device, demonstrating an awareness of technology's role in cultural and religious life. Across more than 290 total citations, Sanjaya's research consistently translates complex computational intelligence into tangible, real-world robotic solutions.
Research Focus
Key Achievements
Top Papers
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- 4The design of face recognition and tracking for human-robot interaction26 citations · 2017
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