Teams of artificially intelligent planetary rovers have tremendous potential for space exploration, allowing for reduced cost, increased flexibility, and increased reliability. However, having these multiple autonomous devices acting simultaneously leads to a problem of coordination: to achieve the best results, they should work together. This is not a simple task....
Congestion games offer a perfect environment in which to study the impact of local decisions on global utilities in multiagent systems. What is particularly interesting in such problems is that no individual action is intrinsically “good” or “bad” but that combinations of actions lead to desirable or undesirable outcomes. As...
This paper addresses control surface segmentation in micro aerial vehicles (MAVs) by leveraging neuro-evolutionary techniques that allow the control of a higher number of control surfaces. Applying classical control methods to MAVs is a difficult process due to the complexity of the control laws with fast and highly non-linear dynamics....
Micro Aerial Vehicles (MAVs) are notoriously
difficult to control as they are light, susceptible to minor
fluctuations in the environment, and obey highly non-linear
dynamics. Indeed, traditional control methods, particularly
those relying on difficult to obtain models of the interaction
between an MAV and its environment have been unable
to...
Intelligent air traffic flow management is one of the fundamental challenges facing the Federal Aviation Administration (FAA) today. FAA estimates put weather, routing decisions and airport condition induced delays at 1,682,700 h in 2007 (FAA OPSNET Data, US Department of Transportation website, http://www.faa.gov/data_statistics/), resulting in a staggering economic loss of...