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About

Totok Winarno is a robotics and control systems researcher whose work centers on mobile robot control, motion planning, and intelligent automation. His research consistently explores the application of PID (Proportional-Integral-Derivative) control methodologies across diverse robotic platforms, including omni-wheeled robots, differential drive systems, line-following legged robots, and humanoid machines. Winarno has made notable contributions to competitive robotics education through his involvement with Indonesia's ABU ROBOCON contest framework, developing practical control solutions for throwing and locomotion robots that have participated in national and international competitions. Among his most significant contributions are an exponentially decreasing kinematic control scheme for four-omni-wheeled robots, a Lagrangian-derived PID balancing algorithm for unstable differential drive systems, and a pole placement linear controller for nonholonomic robot trajectory tracking. His 2022 work on g-h filter integration with compass sensors demonstrated meaningful improvements in trajectory tracking accuracy, while his Robot Operating System (ROS) data distribution framework addressed critical microcontroller load-balancing challenges. Collectively, his ten most-cited papers have accumulated approximately 30 citations, reflecting a growing influence within Indonesian robotics research communities and broader mobile robotics literature. His work bridges theoretical control design with tangible engineering applications in educational and competitive robotics contexts.