AutoRef system architecture: Difference between revisions

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*'''Project continuity''', a concern for AutoRef stakeholders and teams.
*'''Project continuity''', a concern for AutoRef stakeholders and teams.


Systems thinking also identified that ensuring fairness in enforcing all the laws of the MSL rulebook is one the most important and challenging refereeing duties.
Systems thinking also identified that one the most important and challenging refereeing duties in ensuring fairness is to be able to enforce all the laws of the MSL rulebook.


An archiving of past work running parallel to systems thinking revealed continuity issues — namely, continuity issues based on the patterns observed in past generations’ work. Two main issues identified by this archiving were:
An archiving of past work running parallel to systems thinking revealed continuity issues — namely, continuity issues based on the patterns observed in past generations’ work. Two main issues identified by this archiving were:

Revision as of 18:35, 31 March 2021

The system architecture for the AutoRef autonomous referee for RoboCup Middle Size League (MSL) robot soccer is a proposed conceptual model which describes the structure, behavior, and more views of the AutoRef system.

The system architecture is based on the specification of functions as derived from the MSL rulebook (v21.4). In short, this functional specification (as provided by AutoRef MSD 2020) is a breakdown of MSL rulebook laws into robot skills through robot tasks: tasks are statements describing what the AutoRef must do to enforce the rules, written in plain language as to fully explain referee actions without describing the means by which to achieve them; skills are fundamental abilities which are needed to accomplish a specific task. A systems thinking approach underscores the system architecture.

Recommendations for future work emphasize an updated functional decomposition to synchronize the textual breakdown of law-task-skill and the corresponding game state flow visualization.

System architectures proposed by teams prior to MSD 2020 are available within their respective AutoRef team contribution pages.

Background

A systems thinking analysis by MSD 2020 initiated the development of the system architecture with respect to the AutoRef goal as an autonomous referee system for RoboCup MSL. This process identified two primary stakeholder concerns:

  • Fairness, a concern for the RoboCup committee, soccer teams, and spectators.
  • Project continuity, a concern for AutoRef stakeholders and teams.

Systems thinking also identified that one the most important and challenging refereeing duties in ensuring fairness is to be able to enforce all the laws of the MSL rulebook.

An archiving of past work running parallel to systems thinking revealed continuity issues — namely, continuity issues based on the patterns observed in past generations’ work. Two main issues identified by this archiving were:

  • the lack of an overarching structure and goal for all generations; and
  • the lack of an easy and quick overview of what past generations have done and what is yet to be done.

The combined results of systems thinking and archiving led to the idea of creating a global structure which translates laws from the MSL rulebook into enforcement tasks to specify what a referee must do to enforce the laws. Further work revealed that a structure with a single layer was not appropriate for specifying the referee's functions; thus, a second layer of skills was added to the structure to add value to the purpose of that structure. The primary purpose of the skill layer is to describe the kind of information which needs to be collected at MSL matches to perform enforcement tasks.

To better help in the understanding of the problem and proposed solution, think of the project as a huge puzzle with a lot of puzzle pieces. With each generation a new fresh puzzle piece is added to the collection of pieces, but in a very unstructured manner, making it difficult for the following year to integrate their piece to previously developed pieces. The lack of a grid or puzzle layout also made it very difficult for new generations to have a global understanding of the whole system, and thus a lot of time was spent in trying to understand and analyze the big picture. The provided solution is to introduce that grid and identify all the needed puzzle pieces within the scope of the Lawbook. In reality, this project is a bit more complex than a puzzle, and having a grid with all pieces identified did not seem enough to streamline the development process for all generations, so a visualization showing the connections between different areas of the puzzle was also added.

Obsolete

Stakeholder concerns

An analysis of concerns for the AutoRef system led to the definition of two key concerns: continuity and fairness.

Continuity

Concern for continuity in AutoRef's development was particularly a stepping point for the system architecture's development.

Archive team of MSD 2020 concluded continuity was not emphasized or achieved [better word choice] by previous team contributions to AutoRef. The archive team's analysis justified/proved stakeholders concern regarding continuity.

This archiving concluded that this continuity was not achieved partly due to:

  • unclear global overarching structure
  • lack of an overview across previous team contributions

Outcome

The archiving process's result that a clearly defined global overarching structure was missing combined with the systems thinking's analysis of stakeholder concerns (for continuity) led to the conclusion that the translation of laws in the MSL rulebook into ...

Law-task-skill

Decided to translate rulebook from laws to tasks and break them down into skills.

Why? Referee must enforce rules — primary function/duty of a referee.

Functional specification

Law-task-skill breakdown (database)

Game state flow visualization