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ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 11 months ago
Rao-Blackwellized particle filtering for probing-based 6-DOF localization in robotic assembly
This paper presents a probing-based method for probabilistic localization in automated robotic assembly. We consider peg-in-hole problems in which a needle-like peg has a single p...
Yuichi Taguchi, Tim K. Marks, Haruhisa Okuda
RSS
2007
119views Robotics» more  RSS 2007»
14 years 2 months ago
BS-SLAM: Shaping the World
— This paper presents BS-SLAM, a simultaneous localization and mapping algorithm for use in unstructured environments that is effective regardless of whether features correspond ...
Luis Pedraza, Gamini Dissanayake, Jaime Valls Mir&...
ICRA
2003
IEEE
126views Robotics» more  ICRA 2003»
14 years 5 months ago
Results for outdoor-SLAM using sparse extended information filters
Abstract — In [13], a new algorithm was proposed for efficiently solving the simultaneous localization and mapping (SLAM) problem. In this paper, we extend this algorithm to han...
Yufeng Liu, Sebastian Thrun
ICRA
2005
IEEE
148views Robotics» more  ICRA 2005»
14 years 6 months ago
Bearing-only SLAM Using a SPRT Based Gaussian Sum Filter
— Use of a Gaussian Sum filter (GSF) to efficiently solve the initialisation problem in bearing-only simultaneous localisation and mapping (SLAM) is the main contribution of th...
Ngai Ming Kwok, Gamini Dissanayake, Q. P. Ha
VTC
2006
IEEE
110views Communications» more  VTC 2006»
14 years 6 months ago
Recurrent Neural Network Based Narrowband Channel Prediction
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
Wei Liu, Lie-Liang Yang, Lajos Hanzo
IROS
2006
IEEE
116views Robotics» more  IROS 2006»
14 years 6 months ago
Consistency of the EKF-SLAM Algorithm
— This paper presents an analysis of the extended Kalman filter formulation of simultaneous localisation and mapping (EKF-SLAM). We show that the algorithm produces very optimis...
Tim Bailey, Juan Nieto, José E. Guivant, Mi...
IROS
2009
IEEE
149views Robotics» more  IROS 2009»
14 years 7 months ago
Path planning for data assimilation in mobile environmental monitoring systems
— By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile ...
Franz S. Hover