Conference Paper To Appear

The RoCS Framework to Support the Development of Autonomous Robots

PDF

Authors Leonardo RamosGabriel DivinoBreno Bernard Nicolau de FrançaLeonardo MontecchiEsther Colombini
Abstract
With the expansion of autonomous robotics and its applications (e.g. medical, competition, military), the biggest hurdle in developing mobile robots lies in endowing them with the ability to interact with the environment and to make correct decisions so that their tasks can be executed successfully. However, as the complexity of robotic systems grows, the need to organize and modularize software for their correct functioning also becomes a challenge, making the development of software for controlling robots a complex and intricate task. In the robotics domain there is a lack of reference software architectures and, although most robot architectures available in the literature facilitate the creation process with their modularity, existing solutions do not provide development guidance on reusing existing modules. Based on the well-known IBM Autonomic Computing reference architecture (known as MAPE-K), this work defines a refined architecture following the Robotics perspective. To explore the capabilities of the proposed refinement, we implemented the RoCS (Robotics and Cognitive Systems) framework for autonomous robots. We successfully tested the framework under simulated robotics scenarios that mimic typical robotics tasks. Finally, we understand the proposed framework needs experimental evaluation as well as assessments on real-world scenarios.
Event XXII Ibero-American Conference on Software Engineering (CIBSE 2019)
Track Software Engineering Track (SET)
Venue Havana, Cuba
Date April 22-23, 2019 (To appear)
Pages -
 
 

© 2017-2019 Leonardo Montecchi