SafeRobots: A model-driven Framework for developing Robotic Systems

A robotic system is a software intensive system that is composed of distributed, heterogeneous software components interacting in a highly dynamic, uncertain environment. However, no systematic software development process is followed in robotics research. In this paper, we present the core concepts that drive our framework `Self Adaptive Framework for Robotic Systems (SafeRobots)´ for developing software for robotic systems. Two motivating examples are discussed: one discusses a system integration and knowledge representation problem, and the other explicates the issues associated with robotic system development in an industrial scenario. We also report on our progress on designing a meta-model based language - Solution Space Modeling Language, for problem-specific knowledge representation.