High-Level Description of Robot Architecture

TL;DR

This paper introduces a systematic high-level robot architecture description method using the Thinging Machine (TM) modeling approach, enabling clearer documentation, communication, and behavioral analysis of robotic systems.

Contribution

It applies TM modeling to robotic architectures, providing static, dynamic, and behavioral models for improved system specification and understanding.

Findings

TM models capture static atemporal aspects of robots.

Dynamic models identify system states effectively.

Behavioral models specify event sequences in robots.

Abstract

Architectural Description (AD) is the backbone that facilitates the implementation and validation of robotic systems. In general, current high-level ADs reflect great variation and lead to various difficulties, including mixing ADs with implementation issues. They lack the qualities of being systematic and coherent, as well as lacking technical-related forms (e.g., icons of faces, computer screens). Additionally, a variety of languages exist for eliciting requirements, such as object-oriented analysis methods susceptible to inconsistency (e.g., those using multiple diagrams in UML and SysML). In this paper, we orient our research toward a more generic conceptualization of ADs in robotics. We apply a new modeling methodology, namely the Thinging Machine (TM), to describe the architecture in robotic systems. The focus of such an application is on high-level specification, which is one important aspect for realizing the design and implementation in such systems. TM modeling can be utilized in documentation and communication and as the first step in the system s design phase. Accordingly, sample robot architectures are re-expressed in terms of TM, thus developing (1) a static model that captures the robot s atemporal aspects, (2) a dynamic model that identifies states, and (3) a behavioral model that specifies the chronology of events in the system. This result shows a viable approach in robot modeling that determines a robot system s behavior through its static description.