SafeRobots: A model-driven Framework for developing Robotic Systems

Arunkumar Ramaswamy, Bruno Monsuez, Adriana Tapus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1517-1524
Number of pages8
ISBN (Electronic)9781479969340
DOIs
Publication statusPublished - 31 Oct 2014
Externally publishedYes
Event2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 - Chicago, United States
Duration: 14 Sept 201418 Sept 2014

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014
Country/TerritoryUnited States
CityChicago
Period14/09/1418/09/14

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