Rana Zahra
Papers
1
Total Citations
4
H-Index
1
About
Rana Zahra is a robotics researcher whose work bridges engineering and cultural preservation, with a focus on humanoid robotics and speech recognition technology. Her most notable contribution is the development of a humanoid robot capable of performing the traditional Gending Sriwijaya dance, a culturally significant Indonesian art form. In her 2017 paper, "RANCANG BANGUN ROBOT HUMANOID PENARI GENDING SRIWIJAYA MENGGUNAKAN MODUL EASYVR3," she addressed the challenge of synchronizing robotic movement with musical accompaniment—a critical issue in artistic robotics. Using the EasyVR3 speech recognition module, her work enabled the robot to respond to voice commands and perform dance sequences, though she identified persistent asynchronization between music detection and movement. This research has garnered 4 citations and was presented at the prestigious Kontes Robot Seni Tari Indonesia, a national robotics competition. Zahra’s work exemplifies how robotics can be applied to preserve intangible cultural heritage, offering a template for integrating technology with traditional performing arts. Her research remains relevant for students and engineers interested in humanoid robotics, human-robot interaction, and culturally-aware automation.
Research Focus
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Top Papers
- 1