Abstract

Automatic service composition is a key issue of cooperative resource utilization in component-based networked robot system. In this paper, a semantic-based automatic service composition method is proposed. The semantic representation and composition of service is achieved by semantic descriptions of service functions and formulating a set of I/O parameters matching rules. Based on this, a bidirectional breadth-first traversal search algorithm inspired by the maze problem is proposed. As a result, the proposed method is capable of automatically generating plans to compose the functions according to the task requirement. Experimental results validate the effectiveness and the flexibility of the proposed method.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call