The 4th International Workshop on
Model-driven Robot Software Engineering

at STAF 2017, 21.07.17, Marburg, Germany

 

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Objectives

It is impossible to imagine today's production facilities without robots. With precise and optimized hardware/software solutions, they automate many steps in modern manufacturing. Since the required hardware gets cheaper, the available software solutions more sophisticated, and their acceptance within society increases, robots will become a more common part of daily life as well. In contrast to production, where all external influencing factors are known and explicitly treated at design-time, the development of software for robots operating in unpredictable environments (such as service robots) requires new and more sophisticated approaches. Over the last decades, research in robotics made huge progress, especially in the fields of recognition, image processing, knowledge representation, planning, control, and collaboration. However, robotic researchers mainly concentrate on creating hardware/software solutions for specialized tasks. This leads to a landscape of isolated solutions which cannot be reused and combined easily. Furthermore, today's approaches lack comprehensive software engineering methodologies and abstractions for handling the increased heterogeneity and complexity of robotic software systems. Hence, there is a need to incorporate software engineering principles within the development of future robot platforms.

Unfortunately, robot applications fundamentally differ from classical software systems. For instance, the available hardware platforms for robots are highly heterogeneous and there is neither hardware nor software standardization, making cross-product development intractable. Moreover, the variety of possible usage scenarios and their implications on the necessary quality criteria requires several distinct development processes and models. Furthermore, the dynamic interaction of multiple robots will inevitably lead to unwanted emergent behavior, violating safety constraints and, thus, potentially cause severe damage.

Definition

Model-Based Robot Software Engineering (MORSE) is a methodology (including languages, tools, infrastructures, patterns, principles and ecosystems) for the development, evolution and use of robotic applications on standard platforms based on models as primary engineering assets.

Scope

With the advent of standard hardware/software platforms for robots and the dynamics with which software ecosystems and App Stores develop in application markets, the following research topics arise in the overlap of Software Engineering and Robotics:

  • Model-Driven Software Development for robotic systems
  • Software and app reuse for robotics
  • End-user app development
  • The compliance to legal and safety constraints
  • Total cost of ownership

Model-based engineering helps to design and develop complex systems by automating the development process concentrating on different levels of abstraction. With the advances in the robotic research communities and the increasing complexity of application scenarios for future robotic systems, model-driven techniques must be established to improve the quality (e.g., re-usability, reliability, maintainability) of the developed systems. Therefore, there is a need for a new paradigm of software and system development for robots. This suggests establishing a new joint community of researchers from robotics and software engineering.

Important Dates

21.04.2017 abstracts (extended)
28.04.2017 submissions (extended)
25.05.2017 notification
21.07.2017 workshop
15.09.2017 revision submissions
15.10.2017 revision notification
30.11.2017 camera ready

News

05.12.2016 Homepage online
31.01.2017 Submission page open

Consider our partner workshop:

DSLRob 2017
Submit until: 07.01.2017