Sorada Khaengkarn

Suranaree University of Technology

Papers

1

Total Citations

13

H-Index

1

About

Sorada Khaengkarn is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and the application of Robot Operating System (ROS) in constrained environments. Her most cited study, "Study of ROS Based Localization and Mapping for Closed Area Survey" (2019, 13 citations), demonstrates a practical approach to deploying low-cost robotic platforms—specifically the Turtlebot3—for surveying inaccessible zones such as aging structures, disaster sites, and tunnels. By integrating laser scanning with ROS-based algorithms, Khaengkarn’s work addresses critical challenges in real-time environmental perception and map construction, offering scalable solutions for search-and-rescue operations and infrastructure inspection. Her contributions highlight the feasibility of using accessible hardware to achieve reliable autonomy in confined spaces, bridging the gap between theoretical SLAM research and field-ready applications. While her citation count reflects a focused, emerging impact, this work serves as a foundational reference for researchers exploring cost-effective robotic survey systems. Khaengkarn’s research underscores the importance of robust localization in GPS-denied areas, making her a notable voice in the advancement of practical robotics for hazardous or hard-to-reach environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Study of ROS Based Localization and Mapping for Closed Area Survey
13 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Suranaree University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago