Accession Number : AD1005805

Title :   Integration of Hierarchical Goal Network Planning and Autonomous Path Planning

Descriptive Note : Technical Report

Corporate Author : US Army Research Laboratory Adelphi United States

Personal Author(s) : Fung,Nicholas C

Full Text :

Report Date : 01 Mar 2016

Pagination or Media Count : 16

Abstract : Automated planning has become an increasingly influential area of research in the realm of artificial intelligence. Task-based planning algorithms provide a number of advantages, including the ease of human readability when creating mission-length plans. However, such planning algorithms are rarely implemented on real-world robotic systems. This report documents work to integrate a hierarchical goal network planning algorithm with low-level path planning. The system uses the Goal Decomposition with Landmarks (GoDeL) low-level path planner to create a plan, consisting of a sequence of actions, to attain the goals state. The domain is a robot operating in a known office environment with labeled rooms and doors that can be manipulated. The report goes on to discuss future improvement of the system with the goal of creating a robust system that can operate on a robotic platform in a dynamic environment.

Distribution Statement : APPROVED FOR PUBLIC RELEASE