Papers
47
Total Citations
1,260
H-Index
20
About
Erdal Kayacan is a prolific robotics and control systems researcher whose work spans intelligent control theory, autonomous aerial and ground robots, and agricultural automation. His research is distinguished by the creative fusion of fuzzy logic, neural networks, and advanced control strategies—including sliding-mode control and model predictive control—to address real-world challenges posed by uncertain, nonlinear systems. His highly cited 2012 paper on adaptive neuro-fuzzy control of a spherical rolling robot (160 citations) established his reputation for tackling unmodeled dynamics and disturbances in complex mechanical systems. Kayacan has made substantial contributions to UAV autonomy, developing type-2 fuzzy neural network controllers and nonsingleton fuzzy logic frameworks that handle sensor noise and input uncertainty in quadrotor navigation (89 and 65 citations, respectively). His agricultural robotics work—encompassing apple detection with RGB-D cameras (147 citations), harvesting task planning, and rice farm aerial inspection—demonstrates a sustained commitment to translating intelligent algorithms into deployable field solutions. Beyond agriculture, his QuicaBot system (73 citations) exemplifies his broader vision of autonomous inspection robots for the built environment. With over 760 total citations across his leading papers, Kayacan's interdisciplinary contributions continue to shape intelligent robotics research worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2Detection of red and bicoloured apples on tree with an RGB-D camera147 citations · 2016
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- 4QuicaBot: Quality Inspection and Assessment Robot73 citations · 2018
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- 6Task and Motion Planning for Apple Harvesting Robot58 citations · 2013
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