Implementation of Teaming Behavior in Unmanned Aerial Vehicles Research in mannedunmanned teaming (MUMT) addresses the integration of manned and unmanned vehicles within a team. The concept of taskbased guidance has been proven to reduce the human pilotxe2x80x99s workload in a MUMT mission in multiple experiments. In addition to the automated execution of tasks, a mission requires the cooperation between the UAVs in order to increase survivability and mission performance. In this contribution, we describe the implementation of team support for UAVs guided from the cockpit of a manned combat fighter. The implemented agent uses its spare time to escort the team member with the highest priority task. The presented approach was integrated into the MUMT research simulator at the Institute of Flight Systems and the effects of the implemented teaming behavior on mission effectiveness parameters were analyzed in two scenario simulations.

Towards situational awareness from robotic group motion The control of multiple robots in the context of teleexploration tasks is often attentionally taxing, resulting in a loss of situational awareness for operators. Unmanned aerial vehicle swarms require significantly more multitasking than controlling a plane, thus making it necessary to devise intuitive feedback sources and control methods for these robots. The purpose of this article is to examine a swarmu0027s nonverbal behaviour as a possible way to increase situational awareness and reduce the operators cognitive load by soliciting intuitions about the swarmu0027s behaviour. To progress on the definition of a database of nonverbal expressions for robot swarms, we first define categories of communicative intents based on spontaneous descriptions of common swarm behaviours. The obtained typology confirms that the first two levels (as defined by Endsley: elements of environment and comprehension of the situation) can be shared through swarms motionbased communication. We then investigate group motion parameters potentially connected to these communicative intents. Results are that synchronized movement and tendency to form figures help convey meaningful information to the operator. We then discuss how this can be applied to realistic scenarios for the intuitive command of remote robotic teams.