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ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
14 years 2 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
ICRA
2008
IEEE
116views Robotics» more  ICRA 2008»
14 years 2 months ago
A pure probabilistic approach to range-only SLAM
— Range-Only SLAM represents a difficult problem due to the inherent ambiguity of localizing either the robot or the beacons from distance measurements only. Most previous appro...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
13 years 6 months ago
Apprenticeship learning via soft local homomorphisms
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
Abdeslam Boularias, Brahim Chaib-draa
ICRA
2003
IEEE
231views Robotics» more  ICRA 2003»
14 years 1 months ago
Online simultaneous localization and mapping with detection and tracking of moving objects: theory and results from a ground veh
−−−− The simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) problem is not only to solve the SLAM problem in dynamic environ...
Chieh-Chih Wang, Charles E. Thorpe, Sebastian Thru...
CVPR
1999
IEEE
14 years 9 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...