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» Advanced Research with Autonomous Unmanned Aerial Vehicles
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ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
13 years 10 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...
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
13 years 11 months ago
On the generation of feasible paths for aerial robots in environments with obstacles
— This paper presents a methodology based on a variation of the Rapidly-exploring Random Trees (RRTs) that generates feasible trajectories for autonomous aerial vehicles with hol...
Douglas Guimarães Macharet, Armando Alves N...
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
13 years 10 months ago
Tactical UGV navigation and logistics planning
The Army’s push towards developing highly flexible military teams that combine manned and unmanned units requires significant advances in the intelligence of the unmanned units ...
Talib S. Hussain, Daniel Cerys, David J. Montana, ...
ICRA
2009
IEEE
131views Robotics» more  ICRA 2009»
13 years 2 months ago
Efficient C-space and cost function updates in 3D for unmanned aerial vehicles
When operating in partially-known environments, autonomous vehicles must constantly update their maps and plans based on new sensor information. Much focus has been placed on devel...
Sebastian Scherer, Dave Ferguson, Sanjiv Singh
IROS
2009
IEEE
184views Robotics» more  IROS 2009»
13 years 11 months ago
Fast and robust photomapping with an Unmanned Aerial Vehicle (UAV)
— A fast and robust method for visual odometry based on the Fourier-Mellin Invariant (FMI) descriptor is presented. It extends previous FMI based approaches in two ways. First, a...
Heikow Bülow, Andreas Birk