Donghyeok An
Papers
1
Total Citations
2
H-Index
1
About
Donghyeok An is a robotics researcher whose work centers on advancing simultaneous localization and mapping (SLAM) systems, with a particular focus on sensor adaptability and functionality. His most-cited paper, "Improving Sensor Adaptability and Functionality in Cartographer Simultaneous Localization and Mapping" (2025, 2 citations), addresses critical challenges in graph-based SLAM by enhancing the open-source Google Cartographer framework. An’s contributions target the core problem of making SLAM systems more robust and flexible in diverse environments, enabling better performance with varied sensor inputs. While his citation count is still growing, his work represents an important step toward more adaptable autonomous navigation, particularly for applications requiring reliable mapping in complex or dynamic settings. An’s research is especially relevant for students and engineers working on real-world robotics challenges, as it bridges the gap between theoretical SLAM algorithms and practical deployment constraints. His focus on sensor integration and system optimization positions him as an emerging voice in the field of autonomous systems and robotic perception.
Research Focus
Key Achievements
Top Papers
- 1