Tactical UGV navigation and logistics planning

The Army’s push towards developing highly flexible military teams that combine manned and unmanned units requires significant advances in the intelligence of the unmanned units and in the tools used to provide logistical support. BBN Technologies has recently completed a simulation-based project for the Army Research Lab in which we applied an evolutionary computation approach for determining the tactical responses of an unmanned ground vehicle, moderated by explicit rules of engagement. BBN is also currently developing a logistic analysis prototype that uses agent-based technology and evolutionary computation to enable rapid logistics planning and replanning for supporting an Army organization encountering a diversity of planned and unplanned situations. Categories and Subject Descriptors I.2.9 [Artificial Intelligence]: Robotics - Autonomous vehicles; I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods and Search - Plan execution, formation, and generation; J.7 [Comp...

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Talib S. Hussain, Daniel Cerys, David J. Montana, Gordon Vidaver, Jeffrey E. Berliner
• Keywords: Evolutionary Computation, GECCO 2005, Unmanned Ground Vehicles, Unmanned Units