Joko Endrasmono
Papers
3
Total Citations
47
H-Index
2
About
Joko Endrasmono is a robotics researcher whose work bridges intelligent control systems and practical automation. His primary research areas include robotic arm kinematics, neural network control, and IoT-based automation. His most influential contribution is a 2016 study on implementing artificial neural networks for the inverse kinematic model of a 3-DOF arm drawing robot, which has garnered 39 citations and demonstrates a novel approach to solving complex motion control problems. This work has become a reference point for researchers exploring neural network applications in robotics. Endrasmono also contributed to the development of an Android-based automatic waitress system using the MQTT communication protocol (2021, 6 citations), showcasing his interest in integrating robotics with modern communication technologies for service automation. Beyond technical research, he is committed to educational outreach, as evidenced by his 2019 training program on analog line tracer robots for elementary school students in Surabaya, aimed at enhancing student achievement through robotics extracurricular activities. Endrasmono’s work reflects a dedication to advancing both theoretical robotics and its accessible, real-world applications.
Research Focus
Key Achievements
Top Papers
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