Papers
2
Total Citations
19
H-Index
2
About
Azis Isrofi is a researcher at the forefront of robotics and automation, with a strong focus on the Internet of Things (IoT) and intelligent control systems. His work centers on developing practical, autonomous solutions for real-world industrial and domestic challenges. Isrofi’s major contributions include the design of an IoT-based automatic lawnmower robot, controlled wirelessly via an ESP32-CAM module—a project that has garnered 16 citations for its innovative integration of remote monitoring and automation. He has also advanced industrial logistics through his work on Automated Guided Vehicles (AGVs), introducing a novel matrix method for navigation control that uses Radio Frequency Identification (RFID) point addresses to improve precision and reliability. This research, with 3 citations, demonstrates his ability to blend theoretical control methods with tangible applications. Isrofi’s achievements lie in bridging the gap between complex automation concepts and deployable, user-friendly systems. His work not only showcases technical ingenuity but also offers scalable solutions for smart agriculture and Industry 4.0, making him a notable contributor to the fields of robotics and embedded systems.
Research Focus
Key Achievements
Top Papers
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- 2