Sameer Algburi
Al Ain University, University of Kirkuk, University of Anbar
Papers
13
Total Citations
183
H-Index
8
About
Sameer Algburi is a dynamic researcher whose work spans intelligent control systems, autonomous robotics, brain-computer interfaces, and the Internet of Things. His most influential contribution, "Spiking Neural Network for Enhanced Mobile Robots' Navigation Control" (2023, 46 citations), advances third-generation neural network applications in autonomous navigation, positioning him at the forefront of next-generation robotics research. His widely cited review of intelligent control systems (2022, 26 citations) provides a foundational synthesis of human-robot interaction paradigms, serving as a valuable reference for the broader robotics community. Algburi has also made notable strides in biomedical robotics, developing EMG- and EEG-based interfaces for robotic arm control using sliding mode controllers, demonstrating his commitment to intuitive human-machine collaboration. His reach extends beyond robotics into precision agriculture, with IoT-driven smart irrigation systems, and logistics optimization through AI-enhanced communication frameworks. His integration of ANFIS controllers, YOLO-based vision systems, and Q-learning algorithms for path planning further reflects his versatility across applied AI domains. With over 170 cumulative citations across disciplines, Algburi represents an emerging interdisciplinary voice connecting intelligent systems, healthcare technology, and smart infrastructure research.
Research Focus
Key Achievements
Top Papers
- 1Spiking Neural Network for Enhanced Mobile Robots’ Navigation Control46 citations · 2023
- 2Review of Intelligent Control Systems with Robotics26 citations · 2022
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- 6Human-Robot Arm Interaction Based on Electromyography Signal12 citations · 2021
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- 9High-Performance of Mobile Robot Behavior Based on Intelligent System5 citations · 2023
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