Architecture challenges for intelligent autonomous machines: An industrial perspective.

Sagar Behere, Fredrik Asplund, Andreas Söderberg and Martin Törngren

13th International Conference on Intelligent Autonomous Systems (IAS-13), July 2014.

Abstract: Machines are displaying a trend of increasing autonomy. This has a far reaching impact on the architectures of the embedded systems within the machine. The impact needs to be clearly understood and the main obstacles to autonomy need to be identi ed. The obstacles, especially from an industrial perspective, are not just technological but also relate to system aspects like certi cation, development processes and product safety. In this paper, we identify and discuss some of the main obstacles to autonomy from the viewpoint of technical specialists working on advanced industrial product development. The identi ed obstacles cover topics like world modeling, user interaction, complexity and system safety.