The objective of this workshop is to highlight and discuss existing examples of software frameworks combining autonomous robot systems and cognition research. We are targeting systems able to combine high-level cognitive models and heterogeneous robot system in a direct and robust manner. We are also particular interested in frameworks that allow the integration of different paradigms of computation intelligence, e.g. declarative languages and/or artificial neural networks.

The workshop is intended as a platform for exchange and discussion which might lead to the identification of general problems and possible solutions to be considered in future software design for complex robot systems. In the long run this might help in developing standards providing a direct knowledge transfer and exchange between cognitive system research, industry and application developers.



INTENDED AUDIENCE

Audience of this workshop is intended to be researchers as well as hardware and software engineers involved in ongoing or future middle and large robotic projects and who are interested in well proven and established software frameworks able to integrate heterogeneous robot hardware and which are open to arbitrary computational paradigms. We also welcome participants to share their experience of past robotic projects during our open discussion. In this sense, the workshop is open for people with a background from academia or industry.