Architecture-Driven Self-Adaptation and Self-Management in Robotics Systems Hossein Tajalli, George Edwards, Joshua Garcia, Daniel Popescu, Gaurav Sukhatme, Brad Petrus Ph.D. Student, Computer Science Department Advisor: Nenad Medvidovic University of Southern California, Los Angeles

Abstract

We present a layered architecture-centric design and implementation approach for building self-adapting and self-managing robotics systems. The basis of our approach is the concept of meta-level components, which facilitate adaptation and management of application-level components. Our approach flexibly supports adaptive layered architectures of arbitrary depth, the specification of arbitrary system adaptation policies, and the provision of intelligent facilities for constructing adaptation plans on-the-fly.

 

Bio

Hossein is a PhD student in Computer Science Department at University of Southern California who works under the supervision of Professor Nenad Medvidovic. His research interests are in the field of software engineering, software architecture and self-adaptation in robotics applications. Prior to his work at USC, Hossein received his Master of Science in Electrical Engineering from University of Tehran, Iran.