Papers
16
Total Citations
502
H-Index
13
About
Fendy Santoso is a prolific researcher whose work spans autonomous systems, aerial robotics, intelligent control, and cybersecurity — fields he has helped shape through more than a decade of rigorous, high-impact scholarship. His most celebrated contribution, "State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles" (2017, 139 citations), established him as a leading authority on adaptive and evolutionary autopilot design for UAVs. Complementing this, his 2016 survey on visual-inertial navigation systems (94 citations) provided the robotics community with a foundational reference for sensor fusion in micro-aerial vehicles. Santoso has consistently pushed boundaries by bridging cutting-edge machine learning with real-world robotic applications, notably developing deep-learning convolutional neural network frameworks to defend cyber-physical systems against false-data injection and man-in-the-middle attacks — work of growing urgency for military and civilian robotics alike. His contributions to fuzzy logic-based formation control, type-2 fuzzy self-learning quadrotor stabilization, and integrated guidance and control systems further underscore his breadth. With over 400 cumulative citations across diverse yet interconnected domains, Santoso represents a rare researcher whose theoretical rigor consistently translates into practical, real-world impact.
Research Focus
Key Achievements
Top Papers
- 1State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles139 citations · 2017
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