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ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
13 years 11 months ago
Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks
This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
JCP
2008
190views more  JCP 2008»
13 years 4 months ago
Real-time System Identification of Unmanned Aerial Vehicles: A Multi-Network Approach
In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonl...
Vishwas R. Puttige, Sreenatha G. Anavatti
SAT
2007
Springer
126views Hardware» more  SAT 2007»
13 years 11 months ago
Sensor Deployment for Failure Diagnosis in Networked Aerial Robots: A Satisfiability-Based Approach
Unmanned aerial vehicles (UAVs) represent an important class of networked robotic applications that must be both highly dependable and autonomous. This paper addresses sensor deplo...
Fadi A. Aloul, Nagarajan Kandasamy
WSC
2007
13 years 7 months ago
Validating a network simulation testbed for army UAVs
Auburn University, through the Army’s Aviation and Missile Research, Development and Engineering Center (AMRDEC) has been supporting the Unmanned Systems Initiative (USI) progra...
Stephen Hamilton, Colonel Timothy Schmoyer, J. A. ...
ECBS
2011
IEEE
274views Hardware» more  ECBS 2011»
12 years 4 months ago
Model-Driven In-the-Loop Validation: Simulation-Based Testing of UAV Software Using Virtual Environments
Abstract—With the availability of the off-the-shelf quadrocopter platforms, the implementation of autonomous unmanned aerial vehicle (UAV) has substantially been simplified. Suc...
Florian Mutter, Stefanie Gareis, Bernhard Schä...