Title:

Deployment of a Robotic Heterogeneous Team in Mass Casualty Incidents for Higher Efficiency in Search and Rescue 

Abstract:

Recent developments in human-robotic rescue teams have focused on efficiently improving their ability to perform triage in mass casualty incidents (MCIs). The key elements to achieve such a challenging task entail the ability of the robots to autonomously localize the casualties in the area, identify accessible pathways to reach the casualties quickly and safely while avoiding various obstacles, and efficiently assess the injuries of the casualties by collecting a sufficient and diverse dataset utilizing different types of sensors. Could a heterogeneous robotic team reliably assist emergency medical technicians (EMTs) on the field, and what challenges must we overcome?

Bio: 

Dr. Kleio Baxevani is a postdoctoral researcher at the Collective Dynamics and Control Lab of the University of Maryland(UMD), working with Dr. Derek Paley and the rest of the UMD team that competes in the DARPA Triage Challenge. She received her Ph.D. in multi-behavioral systems via bifurcation theory from the University of Delaware(UD) under the supervision of Dr. Herbert Tanner and completed her time at UD as a postdoctoral researcher working with Dr. Arthur Trembanis and his team on organizing the 2024 Autonomous Systems Bootcamp. Her research interests span from autonomous navigation of marine and ground vehicles to task allocation and multi-behavioral multi-agent systems with a specific focus on field applications.