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Creator:: Agogino, Adrian K. and Tumer, Kagan
Abstract:: 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...
Resource Type:: Article
Full Text:: 10.1007/s10458-010-9142-5 A multiagent approach to managing air traffic flow Adrian K. Agogino · Kagan

Creator:: Agogino, Adrian and Tumer, Kagan
Abstract:: Providing intelligent algorithms to manage the ever-increasing flow of air traffic is critical to the efficiency and economic viability of air transportation systems. Yet, current automated solutions leave existing human controllers “out of the loop" rendering the potential solutions both technically dangerous (e.g., inability to react to suddenly developing conditions)...
Resource Type:: Article
Full Text:: Suggestions for Air Traffic Control ∗ Adrian Agogino UCSC, NASA Ames Research Center, Mailstop 269-3 Moffett

Creator:: Yliniemi, Logan, Agogino, Adrian K., and Tumer, Kagan
Abstract:: 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....
Resource Type:: Article
Full Text:: Space Exploration Logan Yliniemi, Adrian K. Agogino, Kagan Turner • Teams of artificially

Creator:: Salichon, Max and Tumer, Kagan
Abstract:: 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....
Resource Type:: Article
Full Text:: York, 2004. [31] Kagan Tumer and Adrian Agogino. Distributed evaluation functions for fault tolerant

Creator:: Caluwaerts, Ken, Despraz, Jérémie, Işçen, Atil, Sabelhaus, Andrew P., Bruce, Jonathan, Schrauwen, Benjamin, and SunSpiral, Vytas
Abstract:: To better understand the role of tensegrity structures in biological systems and their application to robotics, the Dynamic Tensegrity Robotics Lab at NASA Ames Research Center, Moffett Field, CA, USA, has developed and validated two software environments for the analysis, simulation and design of tensegrity robots. These tools, along with...
Resource Type:: Article

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