Reference : PROMISE: high-level mission specification for multiple robots
Scientific journals : Article
Engineering, computing & technology : Computer science
Security, Reliability and Trust
PROMISE: high-level mission specification for multiple robots
García, Sergio [Chalmers | University of Gothenburg]
Pelliccione, Patrizio [Chalmers | University of Gothenburg and University of L’Aquila]
Menghi, Claudio mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >]
Berger, Thorsten [Chalmers | University of Gothenburg]
Bures, Tomas [Charles University]
International Conference on Software Engineering: Companion Proceedings
[en] Multi-robot ; domain-specific language ; mission specification
[en] Service robots, a type of robots that perform useful tasks for humans, are foreseen to be broadly used in the near future in both social and industrial scenarios. Those robots will be required to operate in dynamic environments, collaborating among them or with users. Specifying the list of requested
tasks to be achieved by a robotic team is far from being trivial. Therefore, mission specification languages and tools need to be expressive enough to allow the specification of complex missions (e.g., detailing recovery actions), while being reachable by domain experts who might not be knowledgeable of programming languages. To support domain experts, we developed PROMISE, a Domain-Specific Language that allows mission specification for multiple robots in a user-friendly,
yet rigorous manner. PROMISE is built as an Eclipse plugin that provides a textual and a graphical interface for mission specification. Our tool is in turn integrated into a software framework, which provides functionalities as: (1) automatic generation from specification, (2) sending of missions to the
robotic team; and (3) interpretation and management of missions during execution time. PROMISE and its framework implementation have been validated through simulation and real-world experiments with four different robotic models.
H2020 ; 694277 - TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems

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