Swas Oajsalee

Suranaree University of Technology

Papers

1

Total Citations

13

H-Index

1

About

Swas Oajsalee is a robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and robotic operating systems (ROS) for confined and hazardous environments. Their most-cited work, "Study of ROS Based Localization and Mapping for Closed Area Survey" (2019, 13 citations), demonstrates a practical contribution to deploying low-cost robotic platforms—specifically the TurtleBot3—for surveying inaccessible spaces such as disaster zones, old buildings, and tunnels. By integrating laser scanning with ROS-based SLAM, Oajsalee’s research addresses critical challenges in real-time environmental mapping where human entry is unsafe. This work has been cited by subsequent studies in field robotics and disaster response, highlighting its foundational role in accessible, scalable survey solutions. Oajsalee’s focus on bridging simulation and real-world deployment makes their research particularly valuable for students and engineers developing autonomous systems for search-and-rescue and infrastructure inspection. Their contributions underscore the importance of open-source robotics frameworks in advancing practical, cost-effective mapping technologies.

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