Task and Situation Structures for Service Agent Planning
This addresses the challenge of vague task specifications for service agents in uncontrolled settings, though it appears incremental as it builds on existing planning systems.
The paper tackles the problem of service agents handling everyday tasks in open environments by introducing generic task and situation structures, which avoid hard-coding domain rules and improve scalability.
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.