Audit, Control and Monitoring Design Patterns (ACMDP) for Autonomous Robust Systems (ARS)

Abstract

This paper proposes the Audit, Control and Monitoring Design Patterns (ACMDP) for building Autonomous and Robust Systems (ARS) such as Mobile Robot Systems (MRS). These patterns are also applicable to other Mission Critical and Complex Systems (MCCS). This paper presents a proposal which will help ARS project managers and engineers design, build and estimate the probability that an ARS will succeed or fail. Furthermore, this proposal offers the possibility to ARS problems with the help of audit, monitoring and controlling components, adjust the project management pathways, and define the problem sources as well as their possible solutions, in order to deliver an ARS or an MRS.

Dependability Patterns: A Survey

“…In a follow-up paper [108], they defined a multilayer architecture for safe robots using UML models that can easily become ideas for patterns. A set of patterns for robust robot systems was proposed in Trad and Trad [109] and included patterns such as Data Storage Design, Vision Recognition, Generic, and Infrastructure, as well as some related architectures.…”

Reliability Patterns: A Survey

“…A. Trad and C. Trad [62] discussed a set of patterns for Autonomous Robust Systems (ARS) that include data storage, video recognition, decision making, human robot interaction, and others. Islam et al [37] describe the Recoverable Distributor, a pattern for fault-tolerant and state-sharing of distributed programs.…”