Pippie Arbiyanti
Papers
1
Total Citations
2
H-Index
1
About
Pippie Arbiyanti is a robotics researcher whose work focuses on the intersection of mobile robot technology, artificial intelligence, and autonomous navigation in complex, dynamic environments. Her most-cited paper, "Design and Control Development of an Autonomous Visitor Guiding Robot in a Hospital Environment" (2023), demonstrates her core contribution: integrating smart sensors and controllers to enable robots to map, navigate, and adapt to unpredictable settings like hospitals. By developing systems that allow robots to store spatial data and make predictive decisions in real time, Arbiyanti addresses a critical challenge in service robotics—operating safely alongside humans. Though her citation count is still growing, her research has immediate practical implications for healthcare logistics and visitor assistance. Arbiyanti’s work exemplifies how modern robotics can move beyond controlled labs into real-world applications, offering a blueprint for autonomous guidance systems that are both intelligent and responsive. For students and researchers in robotics and AI, her approach to sensor fusion and adaptive control provides a compelling case study in bridging theory with deployment.
Research Focus
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Top Papers
- 1