Model-Driven Robot Software Engineering (MORSE) is a promising new research field combining Software Engineering and Robotics. Its objectives are to introduce model-driven engineering methodologies for the development of robotics software.

Today, robots are an indispensable part of modern production facilities. In the future, robots will become more common in daily life, and in many cases connected to the Web of Things. Currently, however, there is a lack of standardization w.r.t. hardware/software platforms for robots, leading to a vast landscape of isolated, incompatible, task-specific and, thus, non reusable solutions. Consequently, there is a need for a new engineering methodology for the design, simulation, implementation and execution of software systems for the robotics platforms of the future.

Submissions are encouraged in, but not limited to, the following topics:

  • Robotic Platforms: MDA, Models, Processes and Tools
    • Hardware/Software Abstractions and Architectures; Metamodels
    • Code-, and Application-Reuse; Managed Redundancy and Deployment
    • Variability, Self-Adaptivity and Evolution in Robotic Systems
    • Programming Languages, Paradigms, and Models; DSL
  • Modelling in Robotics
    • Conceptual Modeling and Ontologies for Robotics
    • Reference Models for Sensors and Actuators
    • Knowledge Representation and Reasoning; Context Models
    • Localization, Mapping, and Navigation
    • Autonomous Robots, Robot Learning and Arti ficial Intelligence
  • Robot Ecosystems
    • Robots in the Web of Things
    • Product-Line Development
    • End-User Customization and Multi-Tenancy
  • Multi-Robot Systems
    • Cooperative Perception, Planning, Task Allocation, and Coordination
    • Robot Swarms, Multi-Agent Robotic Systems
  • Model-Driven Quality Assurance of Robotic Systems
    • Veri fication, Validation, Testing, Simulation, Debugging, and Pro filing
    • Handling Emergent Behavior and Uncertainty; Software Qualities

 

Important Dates

Submission Deadline  April 17th, 2016
Author Notification  May 1st, 2016
Camera Ready  May 15th, 2016
Workshop Date  July 1st, 2016

 

Submission Information

Papers should be submitted electronically by May 25, 2014 in PDF format via EasyChair. Submitted papers must conform to the Springer LNCS style. The maximum length of a submission is 12 pages.

The accepted papers will be digitally published in the CEUR Workshop Proceedings publication service. Authors of accepted papers will be expected to attend the workshop.