Abstract

In an attempt to bridge the gap between the theoretical advances in multiagent decision making algorithms and their application in real world scenario, we present the Georgia testbed for autonomous control of vehicles (GaTAC). GaTAC provides a low-cost, opensource and flexible environment for realistically simulating and evaluating policies generated by multi-agent decision making algorithms in real world problem domains pertaining to control of autonomous uninhabbited aerial vehicles (AUAVs). We describe GaTAC in detail and shall demonstrate how GaTAC could be used to simulate an example AUAV problem. We expect GaTAC to facilitate the development and evaluation of scalable decision making algorithms with results that have immediate practical implications.