Integrating adjustable autonomy in an intelligent control framework

Details Integrating adjustable autonomy in an intelligent control framework Integrating adjustable autonomy in an intelligent control framework

Oct 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.5986..122d&link_type=abstract

Unmanned/Unattended Sensors and Sensor Networks II. Edited by Carapezza, Edward M. Proceedings of the SPIE, Volume 5986, pp.

Mathematics

Logic

Scientific paper

Currently, multiple humans are needed to operate a single uninhabited aerial vehicle (UAV). In the near future, combat techniques will involve single operators controlling multiple uninhabited ground and air vehicles. This situation creates both technological hurdles as well as interaction design challenges that must be addressed to support future fighters. In particular, the system will need to negotiate with the operator about proper task delegation, keeping the operator appropriately apprised of autonomous actions. This in turn implies that the system must know what the user is doing, what needs to be done in the present situation, and the comparative strengths for of the human and the system in each task. Towards building such systems, we are working on an Intelligent Control Framework (ICF) that provides a layer of intelligence to support future warfighters in complex task environments. The present paper presents the Adjustable Autonomy Module (AAM) in ICF. The AAM encapsulates some capabilities for user plan recognition, situation reasoning, and authority delegation control. The AAM has the knowledge necessary to support operator-system dialogue about autonomy changes, and it also provides the system with the ability to act on this knowledge. Combined with careful interaction design, planning and plan-execution capabilities, the AAM enables future design and development of effective human-robot teams.

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