A Top-Down Approach to Managing Variability in Robotics Algorithms.

Selma Kchir (1) , Tewfik Ziadi (1) , Mikal Ziane (1) , Serge Stinckwich (2)

1 MoVe - Modélisation et Vérification
2 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]

One of the defining features of the field of robotics is its breadth and heterogeneity. Unfortunately, despite the availability of several robotics middleware services, robotics software still fails to smoothly handle at least two kinds of variability: algorithmic variability and lower-level variability. The consequence is that implementations of algorithms are hard to understand and impacted by changes to lower-level details such as the choice or configuration of sensors or actuators. Moreover, when several algorithms or algorithmic variants are available it is difficult to compare and combine them. In order to alleviate these problems we propose a top-down approach to express and implement robotics algorithms and families of algorithms so that they are both less dependent on lower-level details and easier to understand and combine. This approach goes top-down from the algorithms and shields them from lower-level details by introducing very high level abstractions atop the intermediate abstractions of robotics middleware. This approach is illustrated on 7 variants of the Bug family that were implemented using both laser and infra-red sensors.

Mots clés: design pattern; genericity; variability; robotics

Domaines: Génie logiciel [cs.SE]

Selma Kchir, Tewfik Ziadi, Mikal Ziane, Serge Stinckwich. A Top-Down Approach to Managing Variability in Robotics Algorithms.. Fourth International Workshop on Domain-Specific Languages and Models for Robotic Systems (DSLRob 2013), Nov 2013, Tokyo, Japan. pp.6. ⟨hal-00995131⟩