Husnairi Ardan Miranto
Papers
1
Total Citations
4
H-Index
1
About
Husnairi Ardan Miranto is a robotics researcher whose work focuses on the integration of low-cost, accessible hardware with advanced simultaneous localization and mapping (SLAM) algorithms. His key research areas include mobile robotics, visual SLAM, and embedded systems, with a particular emphasis on making sophisticated robotic perception possible on resource-constrained platforms. His most notable contribution, "Realization of Point Cloud Maps Using ROS & Visual Sensor on Raspberry Pi 3 Based Mobile Robot" (2019, 4 citations), demonstrates a practical implementation of ORB-SLAM using a monocular webcam on a Raspberry Pi 3. This work successfully achieved real-time point cloud mapping, map reuse, loop closing, and relocalization capabilities on a small, hand-held indoor mobile robot—a significant step toward democratizing robotic mapping technology. By proving that complex visual SLAM pipelines can run effectively on affordable single-board computers, Miranto’s research opens doors for hobbyists, students, and researchers working with limited budgets. His work exemplifies the growing trend of bridging the gap between high-end robotic algorithms and accessible, real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1