Share Email Print
cover

Proceedings Paper

Building entity models through observation and learning
Author(s): Richard Garcia; Robert Kania; MaryAnne Fields; Laura Barnes
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

To support the missions and tasks of mixed robotic/human teams, future robotic systems will need to adapt to the dynamic behavior of both teammates and opponents. One of the basic elements of this adaptation is the ability to exploit both long and short-term temporal data. This adaptation allows robotic systems to predict/anticipate, as well as influence, future behavior for both opponents and teammates and will afford the system the ability to adjust its own behavior in order to optimize its ability to achieve the mission goals. This work is a preliminary step in the effort to develop online entity behavior models through a combination of learning techniques and observations. As knowledge is extracted from the system through sensor and temporal feedback, agents within the multi-agent system attempt to develop and exploit a basic movement model of an opponent. For the purpose of this work, extraction and exploitation is performed through the use of a discretized two-dimensional game. The game consists of a predetermined number of sentries attempting to keep an unknown intruder agent from penetrating their territory. The sentries utilize temporal data coupled with past opponent observations to hypothesize the probable locations of the opponent and thus optimize their guarding locations.

Paper Details

Date Published: 24 May 2011
PDF: 11 pages
Proc. SPIE 8045, Unmanned Systems Technology XIII, 80450V (24 May 2011); doi: 10.1117/12.883892
Show Author Affiliations
Richard Garcia, Motile Robotics Inc. (United States)
Robert Kania, U.S. Army Tank Automotive Research, Development and Engineering Ctr. (United States)
MaryAnne Fields, U.S. Army Research Lab. (United States)
Laura Barnes, Univ. of South Florida (United States)


Published in SPIE Proceedings Vol. 8045:
Unmanned Systems Technology XIII
Douglas W. Gage; Charles M. Shoemaker; Robert E. Karlsen; Grant R. Gerhart, Editor(s)

© SPIE. Terms of Use
Back to Top