An approach to team programming with markup for operator interaction

Authors:
Nathan Brooks;Ewart de Visser;Timur Chabuk;Elan Freedy;Paul Scerri
Affiliations:
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Perceptronics Solutions, Inc., Arlington, Virginia, USA;Perceptronics Solutions, Inc., Arlington, Virginia, USA;Perceptronics Solutions, Inc., Arlington, Virginia, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Venue:
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Year:
2013

Citing 5
Cited 0

Modeling and verifying multi-agent behaviors using predicate/transition nets

SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Petri net plans: a formal model for representation and execution of multi-robot plans

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Agent architectures for flexible, practical teamwork

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Scalable target detection for large robot teams

Proceedings of the 6th international conference on Human-robot interaction
Usability evaluation of high-level user assistance for robot mission specification

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a team plan specification language that combines work in the creation of generic team plans and design of intelligent interfaces. Two motivations the language are (1) to combine inter-agent cooperation and operator interaction of complex behaviors into a single plan, and (2) to separate plan design and UI design such that they are created by application domain experts and human interaction experts, respectively. The result is a generic language for multi-robot plans that defines tasks to be performed, interactions for maintaining situational awareness, and mixed initiative reactions to operator workload.