Model-based engineering in swarm robotics

Robotics is a very exciting area of application; not only it is fun, but it also has potential for huge economic and social impact.  A lot has been achieved, and a lot is expect to happen in the next decade or so.  Software engineering techniques that provide appropriate and specific support for robot engineers, however, are few and far between. 

This project will identify how robot engineers use diagrammatic notations for specification of requirements and designs of applications that use swarm robotics. In this case, we have a collection of robots that work independently, but collaborate in achieving a common goal. The use of a collection permits simpler designs of the units and provides fault tolerance. The project will characterise the modelling notation to be used, and develop support for verification of designs using tools. Verification can cover properties related to interaction patterns and timing, and to assumptions about the environment.  Existing tools and techniques need to be exploited and specialised to the diagrammatic notation.  While we have suggestions for a variety of tools that can be useful, there is scope to explore new approaches.

The work will build on experience and results developed under a ten-year project involving a large team of researchers in York, and collaborators worldwide (https://robostart.cs.york.ac.uk). Additional applications and examples are available from RoboStar and the Institute for Safe Autonomy.  

Prerequisites: This project is ideal for a student interested in modelling and specification.  Programming experience is essential, and a good mathematical background is important.

Resources:

  1. We have a tool to deal with single robots: https://robostar.cs.york.ac.uk/tools/.
  2. The tools uses a diagrammatic notation called RoboChart: https://www.cs.york.ac.uk/circus/publications/techreports/reports/robochart-reference.pdf.
  3. A. Miyazawa, P. Ribeiro, W. Li, A. L. C. Cavalcanti, and J. Timmis. Automatic property checking of robotic applications. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 3869--3876, 2017. [ bib | DOI | .pdf ]
  4. A. Miyazawa, P. Ribeiro, W. Li, A. L. C. Cavalcanti, J. Timmis, and J. C. P. Woodcock. RoboChart: modelling and verification of the functional behaviour of robotic applications. Software & Systems Modeling, 18(5):3097--3149, 2019. [ bib | DOI | http ]