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CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
15 years 2 months ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
CRV
2011
IEEE
340views Robotics» more  CRV 2011»
13 years 9 months ago
Combining Multi-robot Exploration and Rendezvous
—We consider the problem of exploring an unknown environment with a pair of mobile robots. The goal is to make the robots meet (or rendezvous) in minimum time such that there is ...
Malika Meghjani, Gregory Dudek
IJCV
2007
147views more  IJCV 2007»
14 years 9 months ago
Vision-Based SLAM: Stereo and Monocular Approaches
Building a spatially consistent model is a key functionality to endow a mobile robot with autonomy. Without an initial map or an absolute localization means, it requires to concurr...
Thomas Lemaire, Cyrille Berger, Il-Kyun Jung, Simo...
CDC
2009
IEEE
157views Control Systems» more  CDC 2009»
15 years 2 months ago
On trajectory optimization for active sensing in Gaussian process models
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
Jerome Le Ny, George J. Pappas
RAS
2007
102views more  RAS 2007»
14 years 9 months ago
Fast and accurate SLAM with Rao-Blackwellized particle filters
Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter in which each ...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...