Smart office robot collaboration based on multi-agent programming

As a new Artificial Intelligence (AI) application to our everyday life, we designed and implemented a smart office environment in which various information appliances work collaboratively to support our office activities. In this environment, many cameras and infrared sensors allow handling robots a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Artificial intelligence Jg. 114; H. 1; S. 57 - 94
Hauptverfasser: Mizoguchi, F., Nishiyama, H., Ohwada, H., Hiraishi, H.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.10.1999
Schlagworte:
Agent architecture
Artificial intelligence
Information appliance
Multi-agent programming
Robot collaboration
Smart office
Multi-agent programming
Information appliance
Robot collaboration
Agent architecture
Smart office
ISSN:0004-3702, 1872-7921
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:As a new Artificial Intelligence (AI) application to our everyday life, we designed and implemented a smart office environment in which various information appliances work collaboratively to support our office activities. In this environment, many cameras and infrared sensors allow handling robots and mobile robots to perform complex tasks such as printing and delivering document. The delivery task is a typical example of an important class of tasks supporting humans in the smart office. In this paper, such robots are modeled as robotic agents, and collaboration between the agents is realized using multi-agent programming. We have developed a multi-agent robot language (MRL) as an evolution of concurrent logic programming. MRL provides synchronous and asynchronous control of agents based on guarded Horn clauses. It also supports describing an advanced negotiation protocol using broadcast and incomplete messages, and making decisions using a set of logical rules. These features are unified within an MRL framework, yielding an intelligent integration of the robotic agents. We view the smart office environment as a human assistant system through agent collaboration, and this view is novel and extendable as AI for everyday functions.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:0004-3702
1872-7921
DOI:10.1016/S0004-3702(99)00068-5