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» Control-driven mapping and planning
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ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
14 years 5 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
ICRA
2000
IEEE
109views Robotics» more  ICRA 2000»
14 years 3 months ago
Computing the Sensory Uncertainty Field of a Vision-Based Localization Sensor
—Recently it has been recognized that robust motion planners should take into account the varying performance of localization sensors across the configuration space. Although a n...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
CSCW
2007
ACM
13 years 11 months ago
Supporting Community Emergency Management Planning through a Geocollaboration Software Architecture
Emergency management is more than just events occurring within an emergency situation. It encompasses a variety of persistent activities such as planning, training, assessment, and...
Wendy A. Schafer, Craig H. Ganoe, John M. Carroll
ICRA
2003
IEEE
167views Robotics» more  ICRA 2003»
14 years 4 months ago
Local exploration: online algorithms and a probabilistic framework
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
Volkan Isler, Sampath Kannan, Kostas Daniilidis
CVIU
2007
143views more  CVIU 2007»
13 years 11 months ago
Visual terrain mapping for Mars exploration
One goal for future Mars missions is for a rover to be able to navigate autonomously to science targets not visible to the rover, but seen in orbital or descent images. This can b...
Clark F. Olson, Larry H. Matthies, John R. Wright,...