Alfa Satya Putra
Papers
1
Total Citations
4
H-Index
1
About
Alfa Satya Putra’s research lies at the intersection of autonomous robotics, sensor fusion, and intelligent navigation systems, with a particular focus on enabling robots to operate reliably in unstructured environments. His most cited work, “A Consolidation of SLAM and Signal Reference Point for Autonomous Robot Navigation” (2020, 4 citations), challenges conventional reliance on pre-built maps by proposing a hybrid framework that integrates Simultaneous Localization and Mapping (SLAM) with signal-based reference points. This approach allows robots to dynamically localize and navigate without prior environmental knowledge, a critical step toward truly autonomous operation in real-world settings. Putra’s contributions emphasize the practical fusion of visual and signal data, addressing key limitations in sensor-dependent navigation. While his citation count is modest, his work represents a foundational effort in reducing the computational and spatial constraints of traditional SLAM systems. For students and researchers exploring robust, map-free navigation, Putra’s research offers a compelling starting point for understanding how multi-modal sensing can bridge the gap between theoretical autonomy and field-ready robotics.
Research Focus
Key Achievements
Top Papers
- 1