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ATAL
2010
Springer
13 years 11 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ICRA
2002
IEEE
146views Robotics» more  ICRA 2002»
14 years 2 months ago
Algorithms and Sensors for Small Robot Path Following
Abstract— Tracked mobile robots in the 20 kg size class are under development for applications in urban reconnaissance. For efficient deployment, it is desirable for teams of ro...
Robert W. Hogg, Arturo L. Rankin, Stergios I. Roum...
HUC
2009
Springer
14 years 2 months ago
Discovering semantically meaningful places from pervasive RF-beacons
Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devic...
Donnie H. Kim, Jeffrey Hightower, Ramesh Govindan,...
UAI
2003
13 years 11 months ago
Policy-contingent abstraction for robust robot control
ontingent abstraction for robust robot control Joelle Pineau, Geoff Gordon and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 This pape...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
AR
2005
138views more  AR 2005»
13 years 9 months ago
On actively closing loops in grid-based FastSLAM
Acquiring models of the environment belongs to the fundamental tasks of mobile robots. In the past, several researchers have focused on the problem of simultaneous localization an...
Cyrill Stachniss, Dirk Hähnel, Wolfram Burgar...