Basuki Rahmat

Telkom University, University of Pembangunan Nasional Veteran Jawa Timur

Papers

Total Citations

H-Index

About

Basuki Rahmat is a researcher focused on intelligent control systems, robotics, and the integration of artificial intelligence with real-world automation. His work spans the stabilization of complex dynamical systems, such as the rotary inverted pendulum, where he applied Proportional Derivative and Fuzzy controls—a foundational challenge for applications in robotics, aerospace, and industrial cranes. He has also advanced robotic manipulation by developing neural network-based controllers for 3DOF robot arms, offering an alternative to traditional PID and computed torque methods. In the realm of smart robotics, Rahmat pioneered a deep learning-based object recognition system for surveillance robots, controlled via web and mobile through IoT connectivity, using a Kinect camera and OpenCV. Though his citation counts are emerging (5, 2, and 2 citations respectively), his research demonstrates a clear trajectory toward practical, AI-enhanced automation. His work is particularly relevant for students and researchers interested in bridging control theory, neural networks, and IoT-enabled robotics for real-world deployment.