Algorithmic Approaches and Embedded Architectures for Robotic Search and Rescue

Robots facilitate exploration of dangerous environments in response to catastrophic events. Advances in robotic technology have increased their utility and application. Risk in search and rescue operations are greatly reduced due to robotic intervention. Recently Structures, Pointing, and Control Engineering (SPACE) University Research Center (URC) of excellence at California State University of Los Angeles has developed a robotic system for search and rescue. This paper focuses on the development of the algorithms and embedded architecture employed in the system. The Eulerian Video Magnification algorithm was utilized as a means to extract biometric information such as pulse and breathing rate of a human body. The path-finding algorithms were developed for expedite navigation of the robot racing towards the potential victim. A layered model was adopted for the system architecture to facilitate the development and implementation of the designated mobile robot platform.