Wahyu Muldayani
Papers
5
Total Citations
14
H-Index
3
About
Wahyu Muldayani is a robotics researcher whose work bridges computer vision, autonomous navigation, and embedded systems, with a focus on applications in competitive robotics. Her most cited research centers on object tracking and deep learning for multi-robot coordination, as demonstrated in her 2023 paper on implementing a deep learning-based system to detect two objects for the Indonesian Robot Contest (KRI), where her strategies for inter-robot passing have garnered 4 citations. She has also advanced human-robot interaction through gesture recognition, developing a finger-gesture control system for robotic arm joints using image processing (2018, 4 citations). A key contribution is her work on robust localization for autonomous soccer robots, where she integrated visual, IMU, and wheel odometry with a PID controller to improve self-localization accuracy in indoor environments (2022, 3 citations). Beyond robotics, Muldayani has designed power systems, including a 200-watt inverter using sinusoidal pulse width modulation for the ASPER-19 robot (2022, 2 citations), and developed navigation algorithms using artificial potential fields for omnidirectional soccer robots (2024, 1 citation). Her work, totaling over 14 citations, directly supports Indonesia’s national robotics competitions and showcases practical innovations in robot control and perception.
Research Focus
Key Achievements
Top Papers
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