Task and Situation Structures for Service Agent Planning

TL;DR

This paper introduces a generic task and situation representation framework for service agents, enhancing their ability to handle diverse, unstructured everyday tasks in open environments without extensive hard-coded rules.

Contribution

It proposes new task and situation structures and a scalable methodology for situation handling, improving real-world task planning for service agents.

Findings

Enhanced scalability of task planning systems

Effective handling of unstructured everyday tasks

Reduced reliance on hard-coded domain rules

Abstract

Everyday tasks are characterized by their varieties and variations, and frequently are not clearly specified to service agents. This paper presents a comprehensive approach to enable a service agent to deal with everyday tasks in open, uncontrolled environments. We introduce a generic structure for representing tasks, and another structure for representing situations. Based on the two newly introduced structures, we present a methodology of situation handling that avoids hard-coding domain rules while improving the scalability of real-world task planning systems.