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RoSE 2018 - 1st International Workshop on Robotics Software Engineering

Date2018-05-28 - 2018-05-30

Deadline2018-03-25

VenueGothenburg, Sweden Sweden

Keywords

Websitehttp://tinyurl.com/RoSE2018

Topics/Call fo Papers

Robotics is one of the most challenging domains for software engineering. Deploying even simple applications requires integrating solutions from experts of various domains, including navigation, path planning, manipulation, localization, human-robot interaction, etc. Integration of modules contributed by respective domain experts is one of the key challenges in engineering software-centric systems, yet only one of the cross-cutting software concerns crucial to robotics. As robots often operate in dynamic, partially observable environments additional challenges include adaptability, robustness, safety, and security.
The goal of RoSE 2018 is to bring together researchers from participating domains with practitioners to identify new frontiers in robotics software engineering, discuss challenges raised by real-world applications, and transfer latest insights from research to industry. RoSE 2018 will solicit contributions from both academic and industrial participants, thus fostering active synergy between the two communities.
Topics of Interest
RoSE 2018 seeks contributions addressing, but not limited to, the following topics related to robotics software engineering:
Analysis of challenges in robotic software engineering
Architectures that lead to reusable robotic software engineering
Challenges for defining and integrating domain-specific languages for the design of robotic systems
Continuous integration and deployment in robotics
Description and analysis of design principles promoting quality of service (e.g., performance, energy efficiency) attributes
Engineering the collaboration of multiple (heterogeneous) robots
Identification and description of design principles in robot software architectures
Lessons learned in the engineering and deployment of large-scale, real-world integrated robot software architectures
Machine learning in safety-critical domains
Metrics to measure nun-functional properties (e.g., robustness, availability, etc.) and their application
State-of-the-art research projects, innovative ideas, and field-based studies
Software engineering best practices in robotics
Processes and tools supporting the engineering and development of robotic systems
Variability, Modularity, and Reusability in robotics
Validation and verification of robot software software

Last modified: 2017-12-20 11:26:01