Exploiting Aggregate Programming in a Multi-Robot Service Prototype
Giorgio Audrito (Dipartimento di Informatica, Universita' di Torino), Andrea Basso (MITO Technology), Daniele Bortoluzzi (Dipartimento di Informatica, Universita' di Torino), Ferruccio Damiani (Dipartimento di Informatica, Universita' di Torino)

TL;DR
This paper presents a multi-robot service prototype utilizing Aggregate Programming (AP) for coordination, validated through simulations and real-world tests in a university library setting.
Contribution
It demonstrates the application of AP in a multi-robot system, showcasing its practicality for resilient distributed robot coordination.
Findings
Successful validation with simulations and real-world tests
Effective coordination achieved using AP in a multi-robot system
Prototype demonstrates AP's suitability for service robotics
Abstract
Multi-robot systems are becoming increasingly relevant within diverse application domains, such as healthcare, exploration, and rescue missions. However, building such systems is still a significant challenge, since it adds the complexities of the physical nature of robots and their environments to those inherent in coordinating any distributed (multi-agent) system. Aggregate Programming (AP) has recently emerged as a promising approach to engineering resilient, distributed systems with proximity-based communication, and is notably supported by practical frameworks. In this paper we present a prototype of a multi-robot service system, which adopts AP for the design and implementation of its coordination software. The prototype has been validated both with simulations, and with tests in a University library.
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