Dolphin: a task orchestration language for autonomous vehicle networks

• Type: Article in International Conference Proceedings Book
• Date: 2018-10-30

Authors

Keila Lima (Author) FEUP; Eduardo Marques (Author) FCUP; José Queirós Pinto (Author) FEUP; João Tasso Sousa (Author) FEUP

Conference proceedings International

Title: IEEE International Conference on Intelligent Robots and Systems

Pages: 8294-8301

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018

1 October 2018 through 5 October 2018

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 14 Citations

Other information

Authenticus ID: P-00N-V58

DOI: 10.1109/iros.2018.8594059

Abstract (EN): We present Dolphin, an extensible programming language for autonomous vehicle networks. A Dolphin program expresses an orchestrated execution of tasks defined compositionally for multiple vehicles. Building upon the base case of elementary one-vehicle tasks, the built-in operators include support for composing tasks in several forms, for instance according to concurrent, sequential, or event-based task flow. The language is implemented as a Groovy DSL, facilitating extension and integration with external software packages, in particular robotic toolkits. The paper describes the Dolphin language, its integration with an open-source toolchain for autonomous vehicles, and results from field tests using unmanned underwater vehicles (UUVs) and unmanned aerial vehicles (UAVs).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8