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ICML
2009
IEEE
16 years 5 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
ICRA
2009
IEEE
173views Robotics» more  ICRA 2009»
15 years 11 months ago
Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments
— This paper describes the system architecture and core algorithms for a quadrotor helicopter that uses vision data to navigate an unknown, indoor, GPS-denied environment. Withou...
Spencer Ahrens, Daniel Levine, Gregory Andrews, Jo...
IROS
2008
IEEE
172views Robotics» more  IROS 2008»
15 years 10 months ago
Motion planning in urban environments: Part II
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
Dave Ferguson, Thomas M. Howard, Maxim Likhachev
ROBIO
2006
IEEE
125views Robotics» more  ROBIO 2006»
15 years 10 months ago
Multi-target Detection by Multi-sensor Systems: A Comparison of Systems
– Different methodologies exist to direct the motion of sensors to detect targets moving across an environment in various scenarios. However, some of these do not model that navi...
P. K. Ganesh, K. Madhava Krishna, Paulo Menezes
ISER
2004
Springer
134views Robotics» more  ISER 2004»
15 years 9 months ago
Autonomous Landing of an Unmanned Helicopter based on Vision and Inertial Sensing
In this paper, we propose an autonomous precision landing method for an unmanned helicopter based on an on-board visual navigation system consisting of a single pan-tilting camera,...
Torsten Merz, Simone Duranti, Gianpaolo Conte