A heterogeneous robots collaboration for safety, security, and rescue robotics: e-ASIA joint research program for disaster risk and reduction management
1
Issued Date
2024-01-01
Resource Type
ISSN
01691864
eISSN
15685535
Scopus ID
2-s2.0-85184218708
Journal Title
Advanced Robotics
Rights Holder(s)
SCOPUS
Bibliographic Citation
Advanced Robotics (2024)
Suggested Citation
Pillai B.M., Suthakorn J., Sivaraman D., Nakdhamabhorn S., Nillahoot N., Ongwattanakul S., Matsuno F., Svinin M., Magid E. A heterogeneous robots collaboration for safety, security, and rescue robotics: e-ASIA joint research program for disaster risk and reduction management. Advanced Robotics (2024). doi:10.1080/01691864.2024.2309622 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/97184
Title
A heterogeneous robots collaboration for safety, security, and rescue robotics: e-ASIA joint research program for disaster risk and reduction management
Corresponding Author(s)
Other Contributor(s)
Abstract
In the face of humanitarian crises such as torrential rainfall, resulting floods, and landslides, rapid rescue operations are often imperative. However, owing to the inherent dangers and unpredictability of such circumstances, immediate on-site aid delivery is frequently unfeasible. In such challenging scenarios, mobile robot systems have emerged as the optimal solution for aiding search and rescue efforts. The 'Informational system for management of flood and landslide disaster areas using a distributed heterogeneous robotic team' project, initiated by the International e-ASIA Joint Research Program, united research teams from Japan, Russia, and Thailand, each contributing unique expertize and experience towards common objectives. Drawing upon our extensive theoretical and practical knowledge in disaster response research, we developed an integrated international operational framework for disaster site management, centered on dispersed, heterogeneous semi-autonomous Unmanned Aerial Vehicles (UAVs), Semi-Autonomous Rough Terrain Vehicles (UGVs), and Semi-Autonomous Surface Vehicles (USVs). This paper provides an overview of the methodologies, models, and algorithms employed throughout the successful three-year project conducted by the Thailand team while also directing interested readers to supplementary research papers for in-depth insights.