Keith Garfield

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The goal of this research is to explore the effects of social interactions between individual autonomous vehicles (AVs) in various problem scenarios. We will take a look at one way to construct the social relationships and generate data from computer simulations to compare the behaviors of each. A difference can be noticed when Synthetic Social Structures(More)
Designing a robot control system that is able to intelligently decide how to handle prioritizing and combining the actions from multiple, conflicting goals is necessary for effective autonomous behavior. The method proposed in this paper uses a Genetic Algorithm (GA) to evolve the relative goal weights that enable agents to combine outputs from conflicting(More)
This paper examines the use of Base Object Models (BOM) as implemented in the University of Central Florida’s (UCF) Virtual Backlot (VB) project. A BOM is a SISO approved form of Reference FOM designed to enable reuse of HLA components. SISO’s BOM Study Group has proposed general BOM design guidelines and federate development methodologies by which reuse(More)
This paper provides recommendations for future development and use of the Flight Information Exchange Model (FIXM) based on experiences gained in preparation for and operation of the Mini Global II (MG II) project demonstration, held in April 2016. The recommendations are intended for those extending the FIXM standard beyond 3.0, and for public and private(More)
This paper presents experiences with implementing a grading technique to closely couple student performance on specific course outcomes with student grades. The course selected for this technique is an undergraduate computer modeling and simulation course, which required an individual research component in addition to assignments and in-class tests. This(More)
The diverse behavior representation schemes and learning paradigms being investigated within the robotics community share the common feature that successful deployment of agents requires that behaviors developed in a learning environment are successfully applied to a range of unfamiliar and potentially more complex operational environments. The intent of(More)
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