College - Author 1
College of Engineering
Department - Author 1
Computer Science Department
College - Author 2
College of Engineering
Department - Author 2
Computer Science Department
Advisor
Franz Kurfess, College of Engineering, Computer Science and Software Engineering Department
Funding Source
This research was privately funded by Gary Bloom through the Cal Poly CENG SURP 2025 program under grant number 65394.
Acknowledgements
Yayun Tan for project coordination and guidance, Dr. Franz Kurfess for advising this project, Dr. Chris Young for guidance, Other AI4SAR students who built AI-agents
Date
10-2025
Abstract/Summary
The goal of this summer research activity is to expand the capabilities of a system developed in the larger AI in Search and Rescue project. This project supports volunteer organizations participating in the search for missing persons by providing a basic framework for the collection and organization of relevant information, augmented with specific components that utilize a variety of AI methods. The focus of the summer research will be on the development of agent components for selected roles and tasks in a search and rescue mission. The agents utilize generative AI methods such as Large Language Models (LLMs) to provide insights for the people involved in the search effort. A "Clue Meister," for example, is responsible for collecting, organizing, evaluating, and distributing all the clues that come in during a search mission. This task and many others can be very challenging for humans, and computer support can significantly speed up and improve the process.
October 1, 2025.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/105