Policy-Based Architectural Adaptation Management: Robotics Domain Case Studies

Robotics is a challenging domain that exhibits a clear need for self-adaptive capabilities, as self-adaptation offers the potential for robots to account for their unstable and unpredictable deployment environments. This paper focuses on two case studies in applying a policy- and architecture-based approach to the development of selfadaptive robotic systems. We first describe our domain-independent approach for building self-adaptive systems, discuss two case studies in which we construct self-adaptive Robocode and Mindstorms robots, report on our development experiences, and discuss the challenges we encountered. The paper establishes that it is feasible to apply our approach to the robotics domain, contributes specific examples of supporting novel self-adaptive behavior, offers a discussion of the architectural issues we encountered, and further evaluates our general approach.

• Type: Conference
• Year: 2009
• Where: DAGSTUHL
• Authors: John C. Georgas, Richard N. Taylor
• Keywords: Case Studies, DAGSTUHL 2007, DAGSTUHL 2009, Self-adaptive Capabilities, Self-adaptive Robocode