@conference {1508619,
	title = {Multiagent adjustable autonomy framework (MAAF) for multirobot, multihuman teams },
	booktitle = {International symposium on collaborative technologies (CTS)},
	year = {2008},
	abstract = {This paper describes the ongoing development of a
Multiagent Adjustable Autonomy Framework (MAAF) for
multi-robot, multi-human teams performing tactical
maneuvers. The challenge being addressed in this SBIR
Phase I R\&D project is how to exploit fully the unique
capabilities of heterogeneous teams composed of a
mixture of Robots, Agents or Persons (RAPs): that is, how
to improve the safety, efficiency, reliability and cost of
achieving mission goals while maintaining dynamic
adaptation to the unique limitations and contingencies of
a real-world operating environment. Our response to this
challenge is the creation of a new infrastructure that will
facilitate cooperative and collaborative performance of
human and robots as equal team partners through the
application of advances in goal-oriented, multiagent
planning and coordination technology. At the heart of
our approach is the USC Teamcore Group{\textquoteright}s Machinetta,
a state-of-the-art robot proxy framework with adjustable
autonomy. Machinetta facilitates robot-human role
allocation decisions and collaborative sharing of team
tasks in the non-deterministic and unpredictable military
environment through the use of a domain-independent
teamwork model that supports flexible teamwork. This
paper presents our innovative proxy architecture and its
constituent algorithms, and also describes our initial
demonstration of technical feasibility in a realistic
simulation scenario. },
	author = {A. Freedy and O. Sert and E. Freedy and G. Weltman and J. Mcdonough and Tambe, Milind and Tapana Gupta}
}
